Hybrid Machine Intelligence for Medical Image Analysis

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 9811389322
• ISBN13: 9789811389320
• Release Date: August 2020
• Publisher: Springer
• Length: 293 Pages
• Weight: 0.97 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"