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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

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

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

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

Elevated white blood Cell Count Is Associated with an Increased Risk of Insulin Resistance among Non-Diabetic Taxi-Motorbike Drivers Working in Cotonou, Benin

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Journal of Biosciences and Medicines 2022年第8期10卷 68-81页

作者： Patrice Hodonou Avogbe Ambaliou Sanni Laboratory of Biochemistry and Molecular Biology Department of Biochemistry and Cellular Biology University of Abomey-Calavi Cotonou Benin

High white blood cell count (WBC) and insulin resistance (IR) are interrelated events that contribute to non-communicable diseases (NCDs), including type-2 diabetes (T2D). However, associations between IR and hematological parameters have never been explored in populations of Benin. The aims of this study were to determine the prevalence of IR and associated hematological parameters in taxi-motorbike drivers (TMDs) working in Cotonou. A total of 133 participants were analyzed in this cross-sectional study. Complete blood count, including WBC and platelet, as well as fasting plasma glucose and insulin, were performed by standard procedures. IR was assessed using the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). Factors associated with IR, their odds ratios (ORs) and 95% confidence intervals (CIs) were determined by logistic regression analysis. The mean age of the study participants was 39.3 years. The HOMA-IR cut-off (75th percentile) for IR was 5.9. The overall prevalence of IR was 24.1%. IR increased with the increase of exposure duration and WBC levels. Logistic regression analysis revealed that the risk of IR increased significantly with higher total WBC, with adjusted ORs (95% CI) for the second and third tertiles of 3.56 (1.10 - 11.58) and 4.01 (1.21 - 13.31), respectively. Similar patterns of associations were observed in an analysis restricted to non-drinkers, although these estimates lacked statistical significance. BMI > 24.2 kg/m2 was independently associated with an increased risk of IR (OR = 3.82, 95% CI: 1.33 - 11.03, P = 0.013). In conclusion, the prevalence of IR in TMDs was 24.1%. IR was significantly associated with elevated WBC count and BMI. WBC may serve as a biomarker to identify individuals at the greatest IR risk.

关键词： Cotonou Insulin Resistance Taxi-Motorbike Drivers white blood cells

Peripheral Hematological Parameters in Sudanese Women with Polycystic Ovary Syndrome

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Case Reports in Clinical Medicine 2022年第7期11卷 253-260页

作者： Shaza Mohammed Enaam T. Elhaj Mohamed A. Ahmed Reem Eltayeb Ishag Adam Faculty of Medicine and Health Sciences Al-Neelain University Khartoum Sudan College of Applied Medical Sciences Shaqra University Shaqra Kingdom of Saudi Arabia Department of Obstetrics and Gynecology Unaizah College of Medicine and Medical Sciences Qassim University Unaizah Kingdom of Saudi Arabia Faculty of Medicine University of Khartoum Khartoum Sudan

The aim of this study is to assess the association between polycystic ovarian syndrome (PCOS) and hematological parameters [hemoglobin, red cell parameters, white blood cells (WBCs), platelets volume (MPV)]. This is a matched case-control study (60 women in each arm of the study) which was conducted in Saad Abualila infertility center Hospital in Khartoum, Sudan. Infertile women with PCOS were the cases and healthy non pregnant women were the controls. The gynecological characteristics were gathered through questionnaire and blood samples were analyzed for different blood parameters by automated hematology analyzer. While the two groups were matched in their age;body mass index was significantly higher in women with PCOs compared to the normal control. The investigated different hematological parameters (hemoglobin, RBCs, RDW, WBCs, platelets and MPV) showed no statistical difference between the women with PCOS and the controls.

关键词： Hemoglobin Platelets Volume Polycystic Ovarian Syndrome Red blood cells white blood cells

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

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