Autorentext

Sriparna Saha (M.E. & Ph.D, JU) is currently an Assistant Professor (Stage-II) in the Department of Computer Science and Engineering of Maulana Abul Kalam Azad University of Technology, West Bengal, India. She has more than 12 years of experience in teaching and research. Her research area includes AI, CV, HCI etc. with over 90 publications in international journals and conferences. Her major research proposal is accepted for Start Up Grant under UGC Basic Scientific Research Grant.

Lidia Ghosh (Gold-Medalist, M.Tech., JU) is an Assistant Professor in the Department of Computer Application at the RCC Institute of Information Technology, India. She was a Postdoctoral Fellow at Liverpool Hope University, UK, and has received multiple prestigious fellowships, including the Rashtriya Uchchatara Shiksha Abhiyan Doctoral Fellowship. She has published over 50 research papers and serves as a reviewer for top IEEE journals. Her research focuses on Cognitive Neuroscience, Deep Learning, Type-2 Fuzzy Sets, and Human Memory Formation.

Klappentext

Advancements in AI and Computer Vision are revolutionizing medical diagnostics by enabling real-time analysis of vast data. This book focuses on ML algorithms that analyze medical data and predict diseases based on key features.

Inhalt

1. Machine Learning Approaches for Disease Diagnosis Cervical Cancer Disease Prediction, A Case Study. 2. A Conjunctive Framework of Ensemble Learning Model with Explainable AI for Optimizing Parametric Eminence in Heart Disease Prediction. 3. AI for Early Identification of Down Syndrome Patients. 4. Advanced Biomedical Signal Decomposition and Denoising by Integrating Traditional and Machine Learning Techniques. 5. Enhanced Retinopathy Detection Using Nested U-Net for Red Lesion Segmentation in Retinal Fundus Images. 6. EDiNA-UNet for Liver Segmentation from CT Images. 7. Self-Supervised Patch Contrastive Learning for Efficient Tumour Detection in Histopathology Images with Minimal Annotations. 8. A Comprehensive Analysis of Personalized Treatment using Digital Twin Technology in Healthcare. 9. NIC Health: Nature Inspired Computing for Secure and Intelligent Healthcare Systems. 10. Semantic Web for Addressing Data Integration Challenges: Semantic Data Fabric for Healthcare. 11. Personalized Medicine Prediction in Homeopathy.