This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26β27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how
Computer Vision and Machine Intelligence in Medical Image Analysis: International Symposium, ISCMM 2019
β Scribed by Mousumi Gupta, Debanjan Konar, Siddhartha Bhattacharyya, Sambhunath Biswas
- Publisher
- Springer Singapore
- Year
- 2020
- Tongue
- English
- Leaves
- 154
- Series
- Advances in Intelligent Systems and Computing 992
- Edition
- 1st ed. 2020
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26β27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.
β¦ Table of Contents
Front Matter ....Pages i-xii
A Novel Method for Pneumonia Diagnosis from Chest X-Ray Images Using Deep Residual Learning with Separable Convolutional Networks (Rahul Sarkar, Animesh Hazra, Koulick Sadhu, Preetam Ghosh)....Pages 1-12
Identification of Neural Correlates of Face Recognition Using Machine Learning Approach (Shreya Gupta, Tapan Gandhi)....Pages 13-20
An Overview of Remote Photoplethysmography Methods for Vital Sign Monitoring (Ruchika Sinhal, Kavita Singh, M. M. Raghuwanshi)....Pages 21-31
Fuzzy Inference System for Efficient Lung Cancer Detection (Laxmikant Tiwari, Rohit Raja, Vaibhav Sharma, Rohit Miri)....Pages 33-41
Medical Image Compression Scheme Using Number Theoretic Transform (Salila Hegde, Rohini Nagapadma)....Pages 43-53
The Retinal Blood Vessel Segmentation Using Expected Maximization Algorithm (R. Murugan)....Pages 55-64
Classification Algorithms to Predict Heart DiseasesβA Survey (Prakash Ramani, Nitesh Pradhan, Akhilesh Kumar Sharma)....Pages 65-71
A Hybrid Filtering-Based Retinal Blood Vessel Segmentation Algorithm (Piyush Samant, Atul Bansal, Ravinder Agarwal)....Pages 73-79
Laser Scar Classification in Retinal Fundus Images Using Wavelet Transform and Local Variance (Rashmi Raut, Visharad Sapate, Abhay Rokde, Samiksha Pachade, Prasanna Porwal, Manesh Kokare)....Pages 81-90
Automated Segmentation of Cervical Cells Using MSER Algorithm and Gradient Embedded Cost Function-Based Level-Set Method (Kaushiki Roy, Debotosh Bhattacharjee, Mita Nasipuri)....Pages 91-99
Macroscopic Reconstruction for Histopathology Images: A Survey (Bijoyeta Roy, Mousumi Gupta)....Pages 101-112
Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques (M. M. Faniqul Islam, Rahatara Ferdousi, Sadikur Rahman, Humayra Yasmin Bushra)....Pages 113-125
Medical Diagnosis Under Uncertain Environment Through Bipolar-Valued Fuzzy Sets (Palash Dutta, Dhanesh Doley)....Pages 127-135
Design and Analysis of Novel Room Temperature T-Ray Source for Biomedical Imaging: Application in Full Body Prosthetics (Saikat Adhikari, Singam Jayanthu, Moumita Mukherjee)....Pages 137-148
Back Matter ....Pages 149-150
β¦ Subjects
Engineering; Computational Intelligence; Signal, Image and Speech Processing; Biomedical Engineering
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