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Optimized Deep Learning Approach for Efficient Diabetic Retinopathy Classification Combining VGG16-CNN

Computers, Materials & Continua 2023年第11期77卷 1855-1872页

作者： Heba M.El-Hoseny Heba F.Elsepae wael a.mohamed Ayman S.Selmy Department of Computer Science the Higher Future Institute for Specialized Technological StudiesObour11828Egypt Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityBenha13511Egypt

Diabetic retinopathy is a critical eye condition that,if not treated,can lead to vision *** methods of diagnosing and treating the disease are time-consuming and ***,machine learning and deep transfer learning(DTL)techniques have shown promise in medical applications,including detecting,classifying,and segmenting diabetic *** advanced techniques offer higher accuracy and *** Diagnosis(CAD)is crucial in speeding up classification and providing accurate disease ***,these technological advancements hold great potential for improving the management of diabetic *** study’s objective was to differentiate between different classes of diabetes and verify the model’s capability to distinguish between these *** robustness of the model was evaluated using other metrics such as accuracy(ACC),precision(PRE),recall(REC),and area under the curve(AUC).In this particular study,the researchers utilized data cleansing techniques,transfer learning(TL),and convolutional neural network(CNN)methods to effectively identify and categorize the various diseases associated with diabetic retinopathy(DR).They employed the VGG-16CNN model,incorporating intelligent parameters that enhanced its *** outcomes surpassed the results obtained by the auto enhancement(AE)filter,which had an ACC of over 98%.The manuscript provides visual aids such as graphs,tables,and techniques and frameworks to enhance *** study highlights the significance of optimized deep TL in improving the metrics of the classification of the four separate classes of *** manuscript emphasizes the importance of using the VGG16CNN classification technique in this context.

关键词： No diabetic retinopathy(NDR) convolution layers(CNV layers) transfer learning data cleansing convolutional neural networks a visual geometry group(VGG16)

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A Novel Deep Learning-Based Model for Classification of Wheat Gene Expression

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Computer Systems Science & Engineering 2024年第2期48卷 273-285页

作者： Amr Ismail WalidHamdy Aya MAl-Zoghby wael AAwad Ahmed Ismail Ebada Yunyoung Nam Byeong-Gwon Kang mohamed Abouhawwash Faculty of Science Port Said UniversityPort SaidEgypt Modern Academy for Computer Science and Management Technology Cairo11742Egypt Faculty of Computers and Artificial Intelligence Damietta UniversityNew DamiettaEgypt Department of ICT Convergence Soonchunhyang UniversityAsan31538South Korea Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

Deep learning(DL)plays a critical role in processing and converting data into knowledge and *** technologies have been applied in a variety of applications,including image,video,and genome sequence *** deep learning the most widely utilized architecture is Convolutional Neural Networks(CNN)are taught discriminatory traits in a supervised *** comparison to other classic neural networks,CNN makes use of a limited number of artificial neurons,therefore it is ideal for the recognition and processing of wheat gene *** is an essential crop of cereals for people around the *** Genotypes identification has an impact on the possible development of many countries in the agricultural *** quantitative genetics prediction of genetic values is a central *** is an allohexaploid(AABBDD)with three distinct *** sizes of the wheat genome are quite large compared to many other kinds and the availability of a diversity of genetic knowledge and normal structure at breeding lines of wheat,Therefore,genome sequence approaches based on techniques of Artificial Intelligence(AI)are *** paper focuses on using the Wheat genome sequence will assist wheat producers in making better use of their genetic resources and managing genetic variation in their breeding program,as well as propose a novel model based on deep learning for offering a fundamental overview of genomic prediction theory and current *** this paper,the hyperparameters of the network are optimized in the CNN to decrease the requirement for manual search and enhance network performance using a new proposed model built on an optimization algorithm and Convolutional Neural Networks(CNN).

关键词： Gene expression convolutional neural network optimization algorithm genomic prediction wheat

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A Comparative Analysis on Surgical Outcomes and Complications of Endoscopic and Open Vein Harvesting Techniques

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Open Journal of Thoracic Surgery 2024年第2期14卷 29-39页

作者： Mohammed Fawzy Eltaweel Ismail N. El-Sokkary Ahmed Alherazi mohamed wael Badawi Mohammed G. Abdellatif Bahaa A. Elkhonezy Ibrahim K. Gamil Haytham mohamed Abd El Moaty Sarra Sadmi Mahmoud Khalil Department of Cardiothoracic Surgery Faculty of Medicine Menoufia University Shibin El Kom Egypt Department of Cardiovascular & Thoracic Surgery Faculty of Medicine Al-Azhar University Cairo Egypt Department of Cardiothoracic Surgery Faculty of Medicine Alexandria University Alexandria Egypt Faculty of Medicine University of Algiers Algiers Algeria Department of Cardiac Surgery Sabah Al-Ahmed Cardiac Center Al-Amiri Hospital Kuwait City Kuwait

Objective: The great saphenous vein (GSV) is commonly used as a conduit for grafting during CABG surgery, and open GSV harvesting (OVH), commonly used with long incision to expose the vein. However, endoscopic vein harvesting (EVH) is an alternative approach, utilizing specialized instruments and small incisions to harvest the vein. Methods: A retrospective analysis was conducted on a cohort of patients who underwent Coronary artery bypass graft (CABG) requiring great saphenous vein (GSV) harvesting which was done by EVH or OVH procedures. Demographic variables, including age and gender, were assessed for both groups. Intraoperative variables such as the number of grafts, cardiopulmonary bypass time, X clamp time, and type of procedure were analyzed. Postoperative variables, including infection and bleeding rates, were also evaluated. Results: The study included 30 patients each undergoing Coronary artery bypass graft (CABG) with need of great saphenous vein harvesting which was done by EVH and OVH. Demographic variables were well-matched between the two groups in terms of age, while a significant difference in gender distribution was observed. Obesity and smoking were more prevalent in the OVH group, and EVH was associated with a higher mean number of grafts compared to OVH. Conversion to an open technique occurred in a portion of the EVH cases, and infection rates did not significantly differ between the EVH and OVH groups. However, the incidence of postoperative bleeding was significantly higher in the EVH group. Conclusion: This study provides valuable insights into the demographic, intraoperative, and postoperative variables associated with EVH and OVH techniques. EVH demonstrated advantages in terms of reduced infection rates compared to OVH. However, the higher incidence of postoperative bleeding associated with EVH raises concerns about potential risks.

关键词： Endoscopic Vein Harvesting (EVH) Open Vein Harvesting (OVH) Coronary Artery Bypass Grafting (CABG) Great Saphenous Vein (GSV) Surgical Outcomes

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A Multi-Factor Authentication-Based Framework for Identity Management in Cloud Applications

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Computers, Materials & Continua 2022年第5期71卷 3193-3209页

作者： wael Said Elsayed Mostafa M.M.Hassan Ayman mohamed Mostafa Faculty of Computers and Informatics Zagazig UniversityZagazig44519Egypt College of Computer and Information Sciences Jouf UniversitySakaka72314Saudi Arabia

User’s data is considered as a vital asset of several *** data to the cloud computing is not an easy decision for any organization due to the privacy and security *** providers must ensure that both data and applications that will be stored on the cloud should be protected in a secure *** data stored on the public cloud will be vulnerable to outside and inside *** paper provides interactive multi-layer authentication frameworks for securing user identities on the *** access control policies are applied for verifying users on the cloud.A security mechanism is applied to the cloud application that includes user registration,granting user privileges,and generating user authentication *** intrusion detection system is embedded to the security mechanism to detect malicious *** multi factor authentication,intrusion detection,and access control techniques can be used for ensuring the identity of the ***,encryption techniques are used for protecting the data from being *** results are carried out to verify the accuracy and efficiency of the proposed frameworks and *** results recorded high detection rate with low false positive alarms.

关键词： Cloud computing service providers multi-layer authentication frameworks and access control

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Convenient One Pot Synthesis and Antibacterial Evaluation of Some New Mannich Bases Carrying 1,2,4-Triazolyl Moiety

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Chinese Journal of Chemistry 2011年第8期29卷 1661-1668页

作者： Arafa, wael A. a.mohamed, Asmaa S Department of Chemistry Faculty of Science Fayoum University Fayoum Egypt Department of Medical Chemistry Theodor Bilharz Research Institute Egypt

A series of Mannich bases were synthesized by a three-component Mannich reaction. The newly synthesized compounds were well characterized by elemental analyses, IR, NMR and mass spectroscopic studies. The potential antibacterial effects of the synthesized compounds were investigated using standard bacterial strains： Gram-positive and Gram-negative bacteria. Interestingly, all the synthesized compounds were observed to be promising leads, possessing moderate to significant inhibitory activity as compared to standard.

关键词： bi- 1,2,4-triazoles Schiff bases Mannich bases regioselectivity antibacterial activity

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An Automatic Deep Neural Network Model for Fingerprint Classification

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Intelligent Automation & Soft Computing 2023年第5期36卷 2007-2023页

作者： Amira Tarek Mahmoud wael AAwad Gamal Behery mohamed Abouhawwash Mehedi Masud Hanan Aljuaid Ahmed Ismail Ebada Department of Computer Science Faculty of SciencePort Said UniversityPort SaidEgypt Department of Computer Science Faculty of Computers and Artificial IntelligenceDamietta UniversityNew DamiettaEgypt Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)College of EngineeringMichigan State UniversityEast LansingMI 48824USA Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Computer Sciences Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman University(PNU)P.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems Faculty of Computers and Artificial IntelligenceDamietta UniversityNew DamiettaEgypt

The accuracy ofﬁngerprint recognition model is extremely important due to its usage in forensic and securityﬁ***ﬁngerprint recognition system has particular network architecture whereas many other networks achieve higher *** solve this problem in a uniﬁed model,this paper proposes a model that can automatically specify ***,it is called an automatic deep neural net-work(ADNN).Our algorithm can specify the appropriate architecture of the neur-al network used and some signiﬁcant parameters of this *** parameters are the number ofﬁlters,epochs,and *** guarantees the high-est accuracy by updating itself until achieving 99%accuracy then it stops and out-puts the ***,this paper proposes an end-to-end methodology for recognizing a person’s identity from the inputﬁngerprint image based on a resi-dual convolutional neural *** is a complete system and is fully automated whether in the features extraction stage or the classiﬁcation *** goal is to automate thisﬁngerprint recognition system because the more automatic the sys-tem is,the more time and effort it *** model also allows users to react by inputting the initial values of these ***,the model updates itself until itﬁnds the optimal values for the parameters and achieves the best *** advantage of our algorithm is that it can recognize people from their thumb and otherﬁngers and its ability to recognize distorted *** algo-rithm achieved 99.75%accuracy on the publicﬁngerprint dataset(SOCOFing).This is the best accuracy compared with other models.

关键词： Automatic system ﬁngerprint classiﬁcation residual networks deep learning

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Second-line panitumumab as a triweekly dose for patients with wild-type KRAS exon 2 metastatic colorectal cancer:a single-institution experience

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Cancer Biology & Medicine 2016年第1期13卷 136-141页

作者： mohamed A.Daoud Engy M.Aboelnaga wael M.mohamed Department of Radiation Oncology Mansoura Faculty of Medicine King Abdullah Medical City

Objective: Panitumumab administered as monotherapy in colorectal cancer(CRC) has shown response and disease stabilization rates of approximately 30%. The current study aimed to evaluate the progression-free survival(PFS) and overall survival(OS) of patients with metastatic colorectal cancer(mCRC) treated with panitumumab every 3 weeks as a second line ***: This study is a retrospective analysis of 18 patients, aged more than 18 years, with wild-type KRAS exon 2 mCRC treated with panitumumab as a second-line single agent after progression on first-line ***: The median number of courses received was 10(range, 4-29), and the median duration of treatment was 30 weeks(range,12-96 weeks). After a median follow-up period of 13 months, the median PFS was 6 months(range, 4.3-7.7 months) and the median OS was 11 months(range, 7.4-14.5 months). The median PFS was 4 months for patients with < grade 2 skin toxicity and 6months(range, 4.5-7.5 months) for patients with ≥ grade 2 skin rash(P=0.05). The median OS was 9 months(range, 6.4-11.5months) and 14 months(range, 11.6-16.3 months) for the two groups of patients(P=0.002).Conclusions: Panitumumab given every 3 weeks is effective and well tolerated in patients with advanced CRC that progressed after standard chemotherapy.

关键词：结直肠癌外显子2 转移性野生型患者单抗机构剂量

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Standard precaution measurements during ophthalmology practice in the pandemic stage of COVID-19

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International Journal of Ophthalmology(English edition) 2020年第7期13卷 1017-1022页

作者： Ahmed mohamed Reda wael M.Ahmed Department of ophthalmology Faculty of MedicineAin Sham UniversityCairo 11566Egypt Dar Eloyoun Eye Laser Centers Muscat 118Oman

AIM:To take specific precautions and keep a safe practice during providing ophthalmology health services without compromising the patient’s safety as well as the team workers and the community in the pandemic stage of corona virus disease 2019(COVID-19).METHODS:Applying patient circulation scheme implemented in our ophthalmology centers with the guidance of ministry of health infection control guidelines star ted from the moment that we receive a call or Whats App message or Facebook inquiry from patients until 21 d after patients first visit if *** directions were ***,community awareness of the disease and the ophthalmology related advices in how eye can transfers the infection and how to protect our eyes not to be infected through videos interviews of our consultants and distribution in social media like Instagram,Facebook,Whats App pages radio and TV interviews as well as leaflet health awareness for distribution for ***,scheduling of patients’appointments to prevent overcrowdings and cross ***,protective measurements tools in the center to detect and prevent any exposure of the patients to patients and to protect medical staff,COVID-19 scoring system was set up to identify patients with fever,respiratory symptoms,acute conjunctivitis or recent travel to outbreak areas and to encourage these individuals to postpone their appointments for at least 21 *** use of personal protective equipment was *** all the elective surgeries keeping only the emergency types advised by fourth:how to deal with our patients if they need an urgent ophthalmological intervention and how to deal with suspected cases of corona if any cases ***:Our measures helped our colleagues to try to keep providing ophthalmology health services without increasing the incidence of infection for COVID-19 until this pandemic is ***:In our practice,ophthalmologists should work with new aura of social media to facilitate the

关键词： corona virus COVID-19 Instagram Facebook WhatsApp personal protective equipment

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An E-Business Event Stream Mechanism for Improving User Tracing Processes

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Computers, Materials & Continua 2021年第10期69卷 767-784页

作者： Ayman mohamed Mostafa Saleh N.Almuayqil wael Said College of Computers and Information Sciences Jouf UniversitySakaka72314Saudi Arabia Faculty of Computers and Informatics Zagazig UniversityZagazig44519Egypt College of Computer Science and Engineering Taibah UniversityMedina42353Saudi Arabia

With the rapid development in business transactions,especially in recent years,it has become necessary to develop different mechanisms to trace business user records in web server log in an efficient *** business transactions have increased,especially when the user or customer cannot obtain the required *** example,with the spread of the epidemic Coronavirus(COVID-19)throughout the world,there is a dire need to rely more on online business *** order to improve the efficiency and performance of E-business structure,a web server log must be well utilized to have the ability to trace and record infinite user *** paper proposes an event stream mechanism based on formula patterns to enhance business processes and record all user activities in a structured log *** user activity is recorded with a set of tracing parameters that can predict the behavior of the user in business *** experimental results are conducted by applying clustering-based classification algorithms on two different datasets;namely,Online Shoppers Purchasing Intention and Instacart Market Basket *** clustering process is used to group related objects into the same cluster,then the classification process measures the predicted classes of clustered *** experimental results record provable accuracy in predicting user preferences on both datasets.

关键词： Business transactions event stream log file tracing parameters clustering-based classification

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Upper Footprint Dependent Nipple Position to Avoid High-Riding Nipple after Reduction Mammoplasty

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Modern Plastic Surgery 2022年第3期13卷 42-49页

作者： wael H. Mahmoud Wesam I. Homouda.mohamed H. Elghazaly mohamed M. Khedr Department of Plastic and Reconstructive Surgery Faculty of Medicine Tanta University Tanta Egypt Plastic Surgery Department Benha Teaching Hospital Benha Egypt

Introduction: High-riding nipple following reduction mammoplasty is a challenging problem for the plastic surgeons. To avoid such problem, many methods have been described for marking the correct nipple position but still controversial. We aimed in this study to present our experience in preventing excessive nipple elevation after reduction mammoplasty by using the upper footprint to set the new nipple position. Material and Methods: From March 2019 to March 2022, 25 female patients at a mean age of 38.3 years were included in this prospective study. They underwent reduction mammoplasty with inverted T scar and a combination of inferior pedicle and Würinger’s septum techniques. Resection weights, pre- and postoperative anthropometric measures were recorded. All patients were photographed at the follow-up visits and evaluated for complications if any, the nipple-areola complex (NAC) sensation, and subjective patient satisfaction using “The Breast Evaluation Questionnaire”. Results: The mean preoperative midclavicular point to nipple distance was 37.40 and 37.18 cm for the right and left breasts, respectively. The mean resection weight was 1270 and 1242 g from the right and left sides, respectively. None of our patients experienced NAC necrosis, while 2 breasts had minor wound dehiscence treated conservatively. After a mean follow-up period of 12 months, the NAC descended by an average of 1.40 cm, the distance from the IMF to nipple had an average increase of 2.24 cm, and all of patients were satisfied with the esthetic outcomes and convinced with their breast shape. Conclusion: The upper footprint dependent nipple position seems to have a real role in preventing high-riding nipple after breast reduction in hypertrophic and gigantomastic breasts. Moreover, it can be applied easily and allow for more satisfying outcomes than other methods for setting the new nipple position.

关键词： High-Riding Nipple Breast Footprint Reduction Mammoplasty

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