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An Efficient Medical Image Deep Fusion Model Based on Convolutional Neural Networks

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Computers, Materials & Continua 2023年第2期74卷 2905-2925页

作者： Walid El-Shafai Noha A.El-Hag Ahmed Sedik Ghada Elbanby fathi E.Abd El-Samie Naglaa F.Soliman Hussah Nasser AlEisa Mohammed E.abdel Samea Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Higher Institute of Commercial Science Management Information SystemsEl-Mahala El-KobraEgypt Department of the Robotics and Intelligent Machines Faculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgypt Department of Industrial Electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Medical Imaging and Interventional Radiology National Liver InstituteMenoufia UniversityEgypt

Medical image fusion is considered the best method for obtaining one image with rich details for efficient medical diagnosis and *** learning provides a high performance for several medical image analysis *** paper proposes a deep learning model for the medical image fusion *** model depends on Convolutional Neural Network(CNN).The basic idea of the proposed model is to extract features from both CT and MR ***,an additional process is executed on the extracted *** that,the fused feature map is reconstructed to obtain the resulting fused ***,the quality of the resulting fused image is enhanced by various enhancement techniques such as Histogram Matching(HM),Histogram Equalization(HE),fuzzy technique,fuzzy type,and Contrast Limited Histogram Equalization(CLAHE).The performance of the proposed fusion-based CNN model is measured by various metrics of the fusion and enhancement *** realistic datasets of different modalities and diseases are tested and ***,real datasets are tested in the simulation analysis.

关键词： Image fusion CNN deep learning feature extraction evaluation metrics medical diagnosis

Novel non-invasive biological predictive index for liver fibrosis in hepatitis C virus genotype 4 patients

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World Journal of Hepatology 2016年第32期8卷 1392-1401页

作者： Mahmoud Khattab Mohamed Amin Sakr Mohamed abdel Fattah Youssef Mousa Elwy Soliman Ashraf Breedy Mona fathi Salwa Gaber Ahmed Altaweil Ashraf Osman Ahmed Hassouna Ibrahim Motawea Department of Internal Medicine Minia University Department of Tropical Medicine Ain Shams University Department of Clinical Pathology Ain Shams University Department of Pathology Minia University Department of Pathology Ain Shams University Department of Clinical Pathology Minia University Department of Cardiothoracic Surgery Ain Shams University

AIMTo investigate the diagnostic ability of a non-invasive biological marker to predict liver fibrosis in hepatitis C genotype 4 patients with high accuracy. METHODSA cohort of 332 patients infected with hepatitis C genotype 4 was included in this cross-sectional study. Fasting plasma glucose, insulin, C-peptide, and angiotensin-converting enzyme serum levels were measured. Insulin resistance was mathematically calculated using the homeostasis model of insulin resistance (HOMA-IR). RESULTSFibrosis stages were distributed based on Metavir score as follows: F0 = 43, F1 = 136, F2 = 64, F3 = 45 and F4 = 44. Statistical analysis relied upon reclassification of fibrosis stages into mild fibrosis (F0-F) = 179, moderate fibrosis (F2) = 64, and advanced fibrosis (F3-F4) = 89. Univariate analysis indicated that age, log aspartate amino transaminase, log HOMA-IR and log platelet count were independent predictors of liver fibrosis stage (P CONCLUSIONOur predictive model is easily available and reproducible, and predicted liver fibrosis with acceptable accuracy.

关键词： Liver fibrosis Insulin resistance Aspartate amino transaminase Platelets Age

Green Synthesis of Silver Nanoparticles Using <i>Nigella sativa</i>Seeds and Evaluation of Their Antibacterial Activity

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Advances in Nanoparticles 2020年第2期9卷 41-48页

作者： Marvit Osman Widdatallah Alaa Abdulmoneim Mohamed Ayat Ahmed Alrasheid Hiba Abbas Widatallah Layla fathi Yassin Sahar Hussein Eltilib Shimaa abdel Rahman Ahmed Department of Pharmacology Faculty of Pharmacy University of Medical Sciences and Technology Khartoum Sudan Department of Clinical Pharmacy Faculty of Pharmacy University of Medical Sciences and Technology Khartoum Sudan Department of Pharmacognosy Faculty of Pharmacy University of Medical Sciences and Technology Khartoum Sudan Department of Pharmaceutical Chemistry Faculty of Pharmacy University of Medical Sciences and Technology Khartoum Sudan

Synthesis of silver nanoparticles using seeds of Nigella sativa as a capping agent was evaluated in this study. Different concentrations of the aqueous extract of N. sativa with silver nitrate solution were exposed to sunlight;as a force for acceleration of the formulation. Then the silver nanoparticles were characterized by UV-Vis, scanning electron microscope (SEM) and X-ray diffraction (XRD) techniques. Antibacterial activity of the nanoparticles was investigated against Staphylococcus aureus and Escherichia coli by the disc diffusion method. The characterization of nanoparticles was detected by the change in color to yellow-brown which indicated the formulation of silver nanoparticles. Irregular shapes within range of nanoscale were detected using SEM and XRD techniques. The finding suggests that silver nanoparticles may be effectively used as antibacterial agent.

关键词： Silver Nanoparticles Nigella sativa UV-Vis SEM XRD Antibacterial Activity

The Effectiveness of Intraoperative Frozen Section Analysis of Safety Margins in Breast Conserving Surgery and the Role of Surgeon in Decreasing the Rate of Positive Margins

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Surgical Science 2017年第12期8卷 499-509页

作者： Omar Farouk Ahmed Senbel Mosab Shetiwy Essam Attia Ahmed Abdallah Osama El-Damshety Ashraf Khater Sameh Roshdy Amr Abouzid Amr Hossam Islam H. Metwally Omar Hamdy Amir M. Zaid Mahmoud abdelaziz Mohamed Elmetwally Adel fathi Emad-Eldeen Hamed Khaled abdel Wahab Wagdi El-Kashef Mohamed Hafez Khaled Zalata Mohamed Hegazy Adel Denewer Surgical Oncology Department Oncology Center Faculty of Medicine Mansoura University Mansoura Egypt Pathology Department Faculty of Medicine Mansoura University Mansoura Egypt

Introduction: Nowadays the more accepted surgical option for treating early breast cancer is breast conserving surgery. The main challenge in this type of surgery is to get free safety margins without need of second surgical operation, so many breast surgeons have started to depend on intraoperative frozen sections to ensure free safety margins. Aim of work: To assess our policy that we prefer to depend on intraoperative frozen section analysis to get free safety margin in breast conserving surgery from the 1st surgery, and its oncologic outcome. Patients and Methods: This is a retrospective study conducted in Oncology Center—Mansoura University (OCMU), where the data of 219 patients with breast cancer, who were managed by breast conserving surgery with intraoperative frozen section analysis of the safety margins, was analyzed. Results: The intraoperative frozen section analysis of safety margin was negative from the start in 183 (83.6%) patients, while it was positive in 36 patients (16.4%). Intraoperative decision of margin re-excision was applied for 29 patients (13.2%) in order to reach negative margin, modified radical mastectomy was offered for 4 patients (1.8%), while nipple sparing mastectomy with immediate breast reconstruction using latissimus dorsi flap was offered for 3 patients (1.4%). The postoperative paraffin results were typical with intraoperative frozen section analysis results in 216 patients (98.6%) and different results were obtained in only 3 patients (1.4%) who were managed by modified radical mastectomy in a second operation. Only 4 patients had local recurrence (1.8%) during the period of follow-up duration which was ranged from 1 to 86 months with mean ± SD (22.3 ± 14.1). Conclusion: The intraoperative frozen section analysis of safety margins in breast conserving surgery has very high-rate typical results with the paraffin section analysis and it is very helpful in decreasing the rate of second surgical operation in cases of infiltrated m

关键词： Breast Conserving Surgery Intraoperative Frozen Section Analysis Safety Margins Breast

Assessment and Rehabilitation of Damaged Buildings in Historic Benghazi City

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Journal of Building Material Science 2023年第2期5卷 51-59页

作者： Vail Karakale fathi M.Layas Ramada E.Suleiman Department of Civil Engineering Faculty of Engineering and Natural SciencesIstanbul Medeniyet UniversityIstanbul34720Turkey Department of Civil Engineering Faculty of EngineeringUniversity of BenghaziPO Box 1308BenghaziLibya

The primary focus of the study is to assess and classify the damage in the old Benghazi ***,it aims to evaluate buildings within a designated area,which is bordered by Umar Ibn Al-Aas Street to the south,Omar Al-Mukhtar Street to the north,Ben Issa Street to the east,and the extension of Gamal abdel Nasser Street to the *** main objective is to gather valuable insights and data that can support effective rehabilitation or reconstruction *** comprehending the extent of the damage and categorizing it accordingly,the study seeks to provide essential information for decision-making processes and determine the most appropriate approach for *** ultimate aim is to ensure the safe return of residents to the affected *** addition to this,the restoration process aims to preserve and revitalize the city’s religious,historical,and distinctive *** includes safeguarding religious structures,landmarks,and elements that contribute to the city’s unique *** achieve this,the study proposes separate rehabilitation schemes tailored for ordinary buildings and historic buildings.

关键词： 3D Panels Buildings Rehabilitation Historical buildings Benghazi City