Swarm Optimization for Biomedical Applications -

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Editeur : Crc Press

Langue : Anglais

Parution : 01/02/2025

Format : Moyen, de 350g à 1kg

Nombre de pages : 328.0

Dimensions : 23.4 x 15.6 x 22.0

ISBN : 1032697334

Résumé :

Preface. Introduction. 1. A Swarm Intelligence Optimization for Lung Cancer Detection from RNA-Seq Gene Expression Data Using Convolutional Neural Networks. 2. A Comprehensive Review on Optimization Algorithms and Applications for Medical Imaging Data. 3. A Comprehensive Analysis of Auto Carrier Loading and Cargo Space Optimization for a Specific Type of Container Using GA. 4. Classification of Heart Disease by Using Particle Swarm Optimization for Hyperparameter Tuning of Machine Learning Models. 5. Mathematical Model for Swarm Optimization in Multimodal Biomedical Images. 6. Swarm Intelligence in Lung Cancer Detection and IoT-Enabled Data Transmission: A Technological Approach. 7. Radiant Insights: Unveiling the Future of Cancer Diagnosis through DOTA-NOC and PET-CT Algorithmic Synergy. 8. Swarm-Optimized Pancreatic Precision: Comprehensive Early Detection through Endoscopic Ultrasound Data Analysis. 9. An Overview of Optimization Techniques for Pre-processing of RNA-seq Data. 10. Improved GA based Clustering with a New Selection Method for Categorical Dental Data. 11. DeepExuDetectNet: Diabetic Retinopathy Diagnosis: Blood Vessel Segmentation and Exudates Disease Detection in Fundus Images. 12. Analysis of Human Emotions with Bio-signals (EEG) using Deep CNN. 13. Supervised GAN (SGAN): Method and Application on Labelled Genomic/Epigenomic Data. 14. A Lightweight Attention-based Convolutional Neural Network for Classification of 3D Biomedical Images. 15. Predictive Security Architecture for Securing Medical Images in Cloud Based IoT. Index.

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Biographie:
https://scholar.harvard.edu/saurav-mallik/bio

Prof. Zhongming Zhao, PhD, MS is a professor at McWilliams School of Biomedical Informatics at UTHealth Houston, formerly UTHealth Houston School of Biomedical Informatics (SBMI) and appointed as the Chair for Precision Health. He is the founding director of the Center for Precision Health, which is a joint venture between McWilliams School of Biomedical Informatics and the UTHealth School of Public Health. Before coming to UTHealth, Zhao was a tenured professor in the Departments of Biomedical Informatics, Psychiatry and Cancer Biology at Vanderbilt University School of Medicine and held Ingram Professorship of Cancer Research. He also served as the chief bioinformatics officer of the Vanderbilt-Ingram Cancer Center (VICC), the director of the VICC Bioinformatics Resource Center, director of the Bioinformatics and Systems Medicine Laboratory and the associate director of the Vanderbilt Center for Quantitative Sciences. Zhao is a member of numerous organizations including the American Medical Informatics Association (AMIA), the Institute of Electrical and Electronics Engineers (IEEE) and the American Society of Human Genetics (ASHG). He has more than 24 years of bioinformatics, genomics, machine learning/AI, and pharmacogenomics research experience, collaborated with more than 100 investigators, and has authored/co-authored more than 450 papers (cited by >21,000 times, h-index = 75). His work has been supported by more than 50 funded grants totaling more than $100 million. Dr. Zhao was elected as a fellow in the American College of Medical Informatics (ACMI), the American Medical Informatics Association (FAMIA), and the American Institute for Medical and Biological Engineering (AIMBE).

Website: Zhongming Zhao - Faculty & Staff - McWilliams School of Biomedical Informatics at UTHealth Houston

Dr Nanda Dulal Jana has a BSc in Mathematics (Hons), BTech and MTech in Computer Science & Engineering from University of Calcutta, India in 2001, 2004 and 2006. He received PhD from Computer Science Technology Department of IIEST Shibpur, India in 2017. He is an Assistant Professor in Computer Science & Engineering Department of National Institute of Technology Durgapur. He has authored/co-authored more than 50 technical articles in journals and conferences. Dr Jana's key research interests include Metaheuristic Optimization Techniques, Evolutionary Machine Learning, Deep Learning and their applications to Protein Structure Prediction, Computer Aided Drug Design, Image Classifications, EEG Signal Classifications and Speech Synthesis.

Website: https://scholar.google.com/citations?user=69EVBBsAAAAJ&hl=tl

Dr Prabhu Jayagopal received his Bachelor's degree in Information Technology from the University of Madras Under Vellore Engineering College, Vellore, India (2004), the master's degree in Computer science and engineering from Sathyabama University, Chennai, India (2007), and the PhD degree in Computer Science and Engineering from Sathyabama University, Chennai, India (2015). He is having an Academic experience of above 15 years. Now he is currently working as an Associate Professor senior in School of Information Technology and Engineering, Vellore Institute of Technology, Vellore from 2009 to till date, He has published more than 65 papers in National, International journals and conferences. He is also involved in collaborative research projects with various national and international level organizations and research institutions. His Research interests are software testing, Machine Learning, IoT, Deep Learning, Block Chain and Big data.

Website: https://betativ.irins.org/profile/190606#personal_informa...

Sommaire:
With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques have been employed to optimize parameters, hyper-parameters....