Advancement of Machine Intelligence in Interactive Medical Image Analysis

Description

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 and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging. Front Matter ....Pages i-xiv Pragmatic Medical Image Analysis and Deep Learning: An Emerging Trend (Pranjal Pandey, Smita Pallavi, Subhash Chandra Pandey)....Pages 1-18 Aspect of Big Data in Medical Imaging to Extract the Hidden Information Using HIPI in HDFS Environment (Yogesh Kumar Gupta)....Pages 19-40 Image Segmentation Using Deep Learning Techniques in Medical Images (Mamta Mittal, Maanak Arora, Tushar Pandey, Lalit Mohan Goyal)....Pages 41-63 Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image (Sanjay Nag, Nabanita Basu, Samir Kumar Bandyopadhyay)....Pages 65-97 Efficient ANN Algorithms for Sleep Apnea Detection Using Transform Methods (Jyoti Bali, Anilkumar Nandi, P. S. Hiremath)....Pages 99-152 Medical Image Processing in Detection of Abdomen Diseases (Kirti Rawal, Gaurav Sethi)....Pages 153-166 Multi-reduct Rough Set Classifier for Computer-Aided Diagnosis in Medical Data (Kavita Jain, Sushil Kulkarni)....Pages 167-183 A New Approach of Intuitionistic Fuzzy Membership Matrix in Medical Diagnosis with Application (Nabanita Konwar, Pradip Debnath)....Pages 185-196 Image Analysis and Automation of Data Processing in Assessment of Dental X-ray (OPG) Using MATLAB and Excel VBA ( Stella, Emmanuel Dhiravia Sargunam, Thirumalai Selvi)....Pages 197-214 Detecting Bone Fracture Using Transfer Learning (Saurabh Verma, Sudhanshu Kulshrestha, Chirag Rajput, Sanjeev Patel)....Pages 215-228 GAN-Based Novel Approach for Data Augmentation with Improved Disease Classification (Debangshu Bhattacharya, Subhashis Banerjee, Shubham Bhattacharya, B. Uma Shankar, Sushmita Mitra)....Pages 229-239 Automated Glaucoma Type Identification Using Machine Learning or Deep Learning Techniques (Law Kumar Singh, Hitendra Garg, Pooja)....Pages 241-263 Glaucoma Detection from Retinal Fundus Images Using RNFL Texture Analysis (Anirban Mitra, Somasis Roy, Ritushree Purkait, Sukanya Konar, Avisa Majumder, Moumita Chatterjee et al.)....Pages 265-282 Artificial Intelligence Based Glaucoma Detection (Prabhjot Kaur, Praveen Kumar Khosla)....Pages 283-305 Security Issues of Internet of Things in Health-Care Sector: An Analytical Approach (Pranjal Pandey, Subhash Chandra Pandey, Upendra Kumar)....Pages 307-329