Verma O. Advancement of Machine Intelligence..Medical Image 2020

Textbook in PDF format

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery anTd therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advnced computational intelligence in medical decision-making based on medical imaging.
Front Matter
Pragmatic Medical Image Analysis and Deep Learning: An Emerging Trend
Aspect of Big Data in Medical Imaging to Extract the Hidden Information Using HIPI in HDFS Environment
Image Segmentation Using Deep Learning Techniques in Medical Images
Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image
Efficient ANN Algorithms for Sleep Apnea Detection Using Transform Methods
Medical Image Processing in Detection of Abdomen Diseases
Multi-reduct Rough Set Classifier for Computer-Aided Diagnosis in Medical Data
A New Approach of Intuitionistic Fuzzy Membership Matrix in Medical Diagnosis with Application
Image Analysis and Automation of Data Processing in Assessment of Dental X-ray (OPG) Using MATLAB and Excel VBA
Detecting Bone Fracture Using Transfer Learning
GAN-Based Novel Approach for Data Augmentation with Improved Disease Classification
Automated Glaucoma Type Identification Using Machine Learning or Deep Learning Techniques
Glaucoma Detection from Retinal Fundus Images Using RNFL Texture Analysis
Artificial Intelligence Based Glaucoma Detection
Security Issues of Internet of Things in Health-Care Sector: An Analytical Approach