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Full 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.
Contents
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.- 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.
