Soft Computing: Biomedical and Related Applications

Part I: Biomedical Applications of Computational Intelligence Techniques.- Bilattice CADIAG-II: Theory and Experimental Results.- A Combination Model of Robust Principal Component Analysis and Multiple Kernel Learning for Cancer Patient Stratification.- Attention U-Net with Active Contour based Hybrid Loss for Brain Tumor Segmentation.- Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Cardiac MR Image Segmentation.- End-to-end Hand Rehabilitation System with Single-shot Gesture Classification for Stroke Patients.- Feature Selection based on Shapley Additive Explanations on Metagenomic Data for Colorectal Cancer Diagnosis.- Clinical Decision Support Systems for Pneumonia Diagnosis using Gradient-weighted Class Activation Mapping and Convolutional Neural Networks.-  Improving 3D Hand Pose Estimation with Synthetic RGB Image Enhancement using RetinexNet and Dehazing.- Imbalance in Learning Chest X-ray Images for COVID-19 Detection.- Deep Learning based COVID-19 Diagnosis by Joint Classification and Segmentation.- Part II: General Computational Intelligence Techniques and Their Applications.- Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing.