Hybrid Machine Intelligence for Medical Image Analysis

✍ Scribed by Siddhartha Bhattacharyya, Debanjan Konar, Jan Platos, Chinmoy Kar, Kalpana Sharma

Publisher: Springer Singapore
Year: 2020
Tongue: English
Leaves: 304
Series: Studies in Computational Intelligence 841
Edition: 1st ed. 2020
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.

✦ Table of Contents

Front Matter ....Pages i-xvi
Content-Based Medical Visual Information Retrieval (Pranjit Das, Arambam Neelima)....Pages 1-19
Pixel N-Grams Representation for Medical Image Classification (Pradnya Kulkarni, Andrew Stranieri)....Pages 21-40
Penalized Fuzzy C-Means Enabled Hybrid Region Growing in Segmenting Medical Images (Shouvik Chakraborty, Sankhadeep Chatterjee, Ajanta Das, Kalyani Mali)....Pages 41-65
Classification of Diabetic Retinopathy Based on Segmentation of Medical Images (Pavan Kumar Mishra, Awanish Kumar)....Pages 67-83
A New Hybrid Adaptive Cuckoo Search-Squirrel Search Algorithm for Brain MR Image Analysis (Sanjay Agrawal, Leena Samantaray, Rutuparna Panda, Lingraj Dora)....Pages 85-117
Analysis of Human Bone Disorder Using Fuzzy and Possibility Theory (Saikat Maity, Jaya Sil)....Pages 119-156
Segmentation of Anomalies in Abdomen CT Images by Convolution Neural Network and Classification by Fuzzy Support Vector Machine (S. N. Kumar, A. Lenin Fred, H. Ajay Kumar, P. Sebastin Varghese, Salga Ann Jacob)....Pages 157-196
An Optimized EMG and GSR Biofeedback Therapy for Chronic TTH on SF-36 Scores of Different MMBD Modes on Various Medical Symptoms (Rohit Rastogi, D. K. Chaturvedi, Santosh Satya, Navneet Arora, Mayank Gupta, Himanshu Verma et al.)....Pages 197-236
Proficient Reconstruction Algorithms for Low-Dose X-Ray Tomography (G. Nagarajan, B. S. Sathish Kumar)....Pages 237-256
DVAE: Deep Variational Auto-Encoders for Denoising Retinal Fundus Image (Biswajit Biswas, Swarup Kr Ghosh, Anupam Ghosh)....Pages 257-273
Optical Marker- and Vision-Based Human Gait Biomechanical Analysis (Ganesh Roy, Thomas Jacob, Dinesh Bhatia, Subhasis Bhaumik)....Pages 275-291
Back Matter ....Pages 293-293

✦ Subjects

Engineering; Signal, Image and Speech Processing; Image Processing and Computer Vision; Pattern Recognition

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