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Automated Artificial Intelligence Empowered white blood cells Classification Model

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Computers, Materials & Continua 2023年第4期75卷 409-425页

作者： Mohammad Yamin Abdullah M.Basahel Mona Abusurrah Sulafah M Basahel Sachi Nandan Mohanty E.Laxmi Lydia Faculty of Economics and Administration King Abdulaziz UniversityJeddahSaudi Arabia Department of Management Information Systems College of Business AdministrationTaibah UniversityAl-MadinahSaudi Arabia E-commerce Department College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia School of Computer Science&Engineering(SCOPE) VIT-AP UniversityAmaravatiAndhra PradeshIndia Department of Computer Science and Engineering Vignan’s Institute of Information Technology(Autonomous)VisakhapatnamAndhra Pradesh530049India

white blood cells (WBC) or leukocytes are a vital component ofthe blood which forms the immune system, which is accountable to fightforeign elements. The WBC images can be exposed to different data analysisapproaches which categorize different kinds of WBC. Conventionally, laboratorytests are carried out to determine the kind of WBC which is erroneousand time consuming. Recently, deep learning (DL) models can be employedfor automated investigation of WBC images in short duration. Therefore,this paper introduces an Aquila Optimizer with Transfer Learning basedAutomated white blood cells Classification (AOTL-WBCC) technique. Thepresented AOTL-WBCC model executes data normalization and data augmentationprocess (rotation and zooming) at the initial stage. In addition,the residual network (ResNet) approach was used for feature extraction inwhich the initial hyperparameter values of the ResNet model are tuned by theuse of AO algorithm. Finally, Bayesian neural network (BNN) classificationtechnique has been implied for the identification of WBC images into distinctclasses. The experimental validation of the AOTL-WBCC methodology isperformed with the help of Kaggle dataset. The experimental results foundthat the AOTL-WBCC model has outperformed other techniques which arebased on image processing and manual feature engineering approaches underdifferent dimensions.

关键词： white blood cells cell engineering computational intelligence image classification transfer learning

The Influence of Apple-or Red-Grape Pomace Enriched Piglet Diet on blood Parameters,Bacterial Colonisation,and Marker Gene Expression in Piglet white blood cells

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Food and Nutrition Sciences 2011年第4期2卷 366-376页

作者： Julia Sehm Dieter Treutter Hermann Lindermayer Heinrich H.D.Meyer Michael W.Pfaffl Lehrstuhl für Physiologie Weihenstephan Zentralinstitut für Ernahrung-und LebensmittelforschungWissenschaftszentrum WeihenstephanTechnische Universitat MünchenFreisingGermany Fachgebiet Obstbau Weihenstephan Wissenschaftszentrum WeihenstephanTechnische Universitat MünchenFreisingGermany Institut für Tierernahrung und Futterwirtschaft Bayerische Landesanstalt für LandwirtschaftPoing-GrubGermany

Proanthocyanidins and flavanoids, both subfamilies of the polyphenols, are highly concentrated in different fruits and berries as well as in fruit pomace. They have shown to exhibit anti-cancer, anti-microbial, anti-oxidative, and im- mune-modulatory effects in vertebrates. Herein the effect of additional apple pomace or red-grape pomace in conven- tional piglet starter feeds were investigated in 36 young growing piglets. Immunological marker gene expression was quantified by quantitative real-time RT-PCR in white blood cells, and intestinal bacterial flora was investigated from weaning to three weeks post weaning. Polyphenol content in red-grape pomace, gut content and tissues were analyzed with HPLC. Flavan-3-ols (epicatechin and catechin) and proanthocyanidins (B1, B2 and C1) were identified in the gas- tro-intestinal tract content, whereas only traces could be detected in various piglet organs. The blood parameters, he- moglobin and hematocrit, were affected and down-regulated in all groups over testing period. In both pomace treated groups more thrombocytes were present compared to the standard feeding group. It turns out, that the pomace diets had greatest impact on the bacterial content in the colon. Results demonstrate that feeding apple pomace and red- grape pomace tended to increase the number of total colonic bacteria. Steptococci/Enterococci increased in the red- grape pomace. C. perfringens was not detectable at the second time point. The number of lactobacilli increased in both applied diets. The number of Clostridium perfringens decreased with the age of the piglets. Trends of mRNA expression changes were found in white blood cell (WBC) between different feeding regimens, since the expression variability in the groups was very high. Between the different time points there were significant differences within the apple pomace group, where TNF? (p = 0.033), NF?B (p = 0.024) and Caspase 3 (p = 0.019) mRNA expression increased signifi- cantly during treatm

关键词： Apple Pomace Red-Grape Pomace white blood cells mRNA Gene Expression blood Parameters Bacterial Colonization

Diagnosis of Leukemia Disease Based on Enhanced Virtual Neural Network

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Computers, Materials & Continua 2021年第11期69卷 2031-2044页

作者： K.Muthumayil S.Manikandan S.Srinivasan JoséEscorcia-Gutierrez Margarita Gamarra Romany F.Mansour Department of Information Technology PSNA College of Engineering and TechnologyDindigul624622India Department of Information Technology K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Biomedical Engineering Saveetha School of EngineeringSIMATSChennai602105India Electronic and Telecommunicacions Program Universidad Autónoma del CaribeBarranquilla08001Colombia Department of Computational Science and Electronic Universidad de la CostaCUCBarranquilla08001Colombia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

white blood Cell(WBC)cancer or leukemia is one of the serious cancers that threaten the existence of human *** spite of its prevalence and serious consequences,it is mostly diagnosed through manual *** risks of inappropriate,sub-standard and wrong or biased diagnosis are high in manual ***,there is a need exists for automatic diagnosis and classification method that can replace the manual *** is mainly classified into acute and chronic *** current research work proposed a computer-based application to classify the *** the feature extraction stage,we use excellent physical properties to improve the diagnostic system’s accuracy,based on Enhanced Color Co-Occurrence *** study is aimed at identification and classification of chronic lymphocytic leukemia using microscopic images of WBCs based on Enhanced Virtual Neural Network(EVNN)*** proposed method achieved optimum accuracy in detection and classification of leukemia from WBC ***,the study results establish the superiority of the proposed method in automated diagnosis of *** values achieved by the proposed method in terms of sensitivity,specificity,accuracy,and error rate were 97.8%,89.9%,76.6%,and 2.2%,***,the system could predict the disease in prior through images,and the probabilities of disease detection are also highly optimistic.

关键词： white blood cells enhanced virtual neural networking segmentation feature extraction chronic lymphocytic leukemia

Histogram-Based Decision Support System for Extraction and Classification of Leukemia in blood Smear Images

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Computer Systems Science & Engineering 2023年第8期46卷 1879-1900页

作者： Neenavath Veeraiah Youseef Alotaibi Ahmad FSubahi Department of Electronics and Communications DVR&DHS MIC Engineering CollegeKanchikacharlaA.P.521180India Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Science University College of Al JamoumUmm Al-Qura UniversityMakkah21421Saudi Arabia

An abnormality that develops in white blood cells is called *** diagnosis of leukemia is made possible by microscopic investigation of the smear in the *** training is necessary to complete the morphological examination of the blood smear for leukemia *** paper proposes a Histogram Threshold Segmentation Classifier(HTsC)for a decision support *** proposed HTsC is evaluated based on the color and brightness variation in the dataset of blood smear *** operations are used to crop the nucleus based on automated *** blood Cell(WBC)segmentation is calculated using the active contour model to determine the contrast between image regions using the color transfer *** entropy-adaptive mask generation,WBCs accurately detect the circularity region for identification of the *** proposed HTsC addressed the cytoplasm region based on variations in size and shape concerning addition and rotation *** in WBC imaging characteristics depends on the cytoplasmic and nuclear *** computation of the variation between image features in the cytoplasm and nuclei regions of the WBCs is used to classify blood smear *** classification of the blood smear is performed with conventional machine-learning techniques integrated with the features of the deep-learning regression *** designed HTsC classifier comprises the binary classifier with the classification of the lymphocytes,monocytes,neutrophils,eosinophils,and abnormalities in the *** proposed HTsC identifies the abnormal activity in the WBC,considering the color and shape *** exhibits a higher classification accuracy value of 99.6%when combined with the other *** comparative analysis expressed that the proposed HTsC model exhibits an overall accuracy value of 98%,which is approximately 3%–12%higher than the conventional technique.

关键词： white blood cells leukemia segmentation histogram blood smear

Oxidative stress indicators in human and bottlenose dolphin leukocytes in response to a pro-inflammatory challenge

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BIOCELL 2021年第6期45卷 1621-1630页

作者： TARYN E.SYMON RAMÓN GAXIOLA-ROBLES CLAUDIA J.HERNÁNDEZ-CAMACHO TANIA ZENTENO-SAVÍN Centro de Investigaciones Biológicas del Noroeste La Paz23096México Hospital General de Zona No.1 Instituto Mexicano del Seguro SocialLa Paz23000México Centro Interdisciplinario de Ciencias Marinas Instituto Politécnico NacionalLa Paz23096México

Marine mammals undergo cycles of tissue ischemia and reperfusion during the dive *** injury can result in oxidative tissue damage and the activation of a pro-inflammatory immune *** risk of oxidative damage is reduced by *** hypothesis is that the reported higher antioxidant defenses within marine mammal tissues provide additional protection in situations that produce oxidative stress,like inflammation,in comparison to terrestrial mammal *** were isolated from the whole blood of Pacific bottlenose dolphins(Tursiops truncatus gilli)and humans(Homo sapiens)and were exposed to lipopolysaccharides(LPS,10μg/mL)in vitro to simulate a pro-inflammatory *** stress indicators,including superoxide radical(O_(2)^(•−))production,activities of superoxide dismutase(SOD),catalase(CAT),glutathione peroxidase(GPx),glutathione reductase(GR),and glutathione S-transferase(GST),as well as oxidative protein damage,were quantified by *** 48 h under experimental conditions,bottlenose dolphin leukocytes produced 1.9 times more O_(2)^(•−)but displayed 2.0 times lower protein carbonyl concentrations compared to human *** 48 h under experimental conditions,bottlenose dolphin leukocytes displayed 7.9,2.0,11.1,and 3.3 times more activities of CAT,GPx,GR,and GST,respectively,compared to human *** results suggest that,under cell culture conditions,the antioxidant defenses in bottlenose dolphin leukocytes provide additional protection against pro-inflammatory challenges in comparison to human leukocytes,likely as an adaptive advantage.

关键词： Antioxidant defenses Marine mammals Oxidative stress Reactive oxygen species white blood cells

Automated white blood Cell Disease Recognition Using Lightweight Deep Learning

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Computer Systems Science & Engineering 2023年第7期46卷 107-123页

作者： Abdullah Alqahtani Shtwai Alsubai Mohemmed Sha Muhammad Attique Khan Majed Alhaisoni Syed Rameez Naqvi College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Computer Science HITEC University TaxilaTaxilaPakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

white blood cells(WBC)are immune system cells,which is why they are also known as immune *** protect the human body from a variety of dangerous diseases and outside *** majority of WBCs come from red bone marrow,although some come from other important organs in the *** manual diagnosis of blood disorders is difficult,it is necessary to design a computerized *** have introduced various automated strategies in recent years,but they still face several obstacles,such as imbalanced datasets,incorrect feature selection,and incorrect deep model *** proposed an automated deep learning approach for classifying white blood disorders in this *** data augmentation approach is initially used to increase the size of a ***,a Darknet-53 pre-trained deep learning model is used and finetuned according to the nature of the chosen *** the fine-tuned model,transfer learning is used,and features engineering is done on the global average pooling *** retrieved characteristics are subsequently improved with a specified number of iterations using a hybrid reformed binary grey wolf optimization *** that,machine learning classifiers are used to classify the selected best features for final *** experiment was carried out using a dataset of increased blood diseases imaging and resulted in an improved accuracy of over 99%.

关键词： white blood cells augmentation deep features feature selection classification

Rebamipide enema therapy for left-sided ischemic colitis patients accompanied by ulcers:Open label study

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World Journal of Gastroenterology 2008年第25期14卷 4059-4064页

作者： Satohiro Matsumoto Kenichiro Tsuji Satoshi Shirahama Department of Internal Medicine Kamigoto Hospital

AIM: To attempt rectal administration of rebamipide in the treatment of ischemic colitis patients with ulcers, and evaluate its effects. METHODS: We compared 9 ischemic colitis patients (2 men, 7 women) with ulcers treated by bowel rest only from 2000 to 2005 (conventional therapy group), with 6 patients (2 men, 4 women) treated by rebamipide enema therapy in 2006 (rebamipide enema therapy group) and analyzed the mean duration of fasting and hospitalization, degree of ulcer healing, and decrease in WBC count for the two groups. RESULTS: The mean duration of fasting and hos- pitalization were 2.7 ± 1.8 d and 9.2 ± 1.5 d in the rebamipide group and 7.9 ± 4.1 d and 17.9 ± 6.8 d in the control group, respectively, and signifi cantly re- duced in the rebamipide group (t = -2.915; P = 0.0121 and t = -3.054; P = 0.0092). As for the degree of ul- cer healing at 7 d after admission, the ulcer score was reduced by 3.5 ± 0.5 (points) in the rebamipide group and 2.8 ± 0.5 (points) in the control group (t = 1.975; P = 0.0797), while the decrease in WBC count was 120.0 ± 55.8 (× 102/μL) in the rebamipide group and 85.9 ± 56.8 (× 102/μL) in the control group (t = 1.006; P = 0.3360). CONCLUSION: In left-sided ischemic colitis patients with ulcers, rebamipide enema therapy significantly reduced the duration of fasting and hospitalization, recommending its use as a new and effective thera- peutic alternative.

关键词： Ischemic colitis Rebamipide-enema Fast-ing Hospitalization Ulcer healing white blood cells

Assessments of Immunological Activity of Achillea Millefolium Methanolic Extract on Albino Male Mice

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Journal of Pharmacy and Pharmacology 2018年第6期6卷 563-569页

作者： Ruqaya Mohammed Al-Ezzy Rafal S. A. Al Anee Niran A. Ibrahim Departement of Molecular and Medical biotechnology College of Biotechnology Al-Nahrain University Baghdad Iraq College of Pharmacy Al-Nahrain University Baghdad Iraq College of Education for Pure Sciences (Ibn Al-Haitham) University of Baghdad Baghdad Iraq

Achillea millefolium （Asteraceae） is a permanent herb highly recognized in traditional medicine for its anti-oxidant and anti-inflammation properties. However, studies on phytochemical constituents of A. millefolium underlying these properties are scarce. The present work focuses on examining the effect of methanol extract of A. millefolium L. on total and differential blood cells account on albino male mice. The results showed the methanol extract increased the account of lymphocyte, and monocyte cells, and total account as well as this extract showed high decrease in the oxidative stress of MTX after the interfere between the extract and MTX due to increase in the leucocyte cells compared with controls. Concluded from these results that methanol extract of A. millefolium has ability enhancement in leucocyte cells in the blood and it has detoxification effect of MTX.

关键词： Achillea millefolium white blood cells methanol extract total account differential account and albino male mice.

Changes in blood Constituents in Rats after Benzene Inhalation

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The Journal of Biomedical Research 1999年第1期23卷 51-56页

作者：徐锡坤邱清谢懋功许娟华何冬宁王心如

The toxicity of benzene was attributed to the formation of free radical. In this study, a method of measuring lipid peroxidation(LPO)in white blood cells(WBC)was reported. After the rats inhaled benzene in different concentrations (6.310\+9, 71.810\+9 and 459.510\+\{-9\} g/L) for 30 days and in concentration of 71.810\+\{-9\} g/L for 10, 20 and 30 days,indicators reflecting toxicity of blood free radicals such as leukocyte LPO, plasma LPO, erythrocyte superoxide dismutase(SOD), erythrocyte glutathione were measured. After 30 day administration, level of leukocyte LPO in all rats of the exposed groups was remarkably higher than that in the control group. Leukopenia occurred only in 71.810\+\{-9\} g/L and 459.510\+\{-9\} g/L groups. The level of leukocyte LPO also increased in 71.810\+\{-9\} g/L group 20 day administration group. Other biochemical indicators had no significant change. It was suggested that the decrease of peripheral leukocytes following benzene exposure might result from, at least in lipid peroxidation, toxic \{effectpart, membrane lipid peroxidation and the determination of leukocyte LPO level is more sensitive than leukocyte count. \;

关键词： rat benzene white blood cells free radical