Preface
Introduction
Brain Tumor Segmentation from T1 Weighted MRI Images Using Rough Set Reduct and Quantum Inspired Particle Swarm Optimization
Automated Region of Interest detection of Magnetic Resonance (MR) images by Center of Gravity (CoG)
Brain tumors detection through low level features detection and rotation estimation
Automatic MRI Image Segmentation for Brain tumors detection using Multilevel Sigmoid Activation (MUSIG) function
Automatic Segmentation of pulmonary nodules in CT Images for Lung Cancer detection using self-supervised Neural Network Architecture
A Hierarchical Fused Fuzzy Deep Neural Network for MRI Image Segmentation and Brain Tumor Classification
Computer Aided Detection of Mammographic Lesions using Convolutional Neural Network (CNN)
Conclusion.