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Full Description
This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26-27 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.
Contents
Chapter 1. A Novel Method for Pneumonia Diagnosis from Chest X-Ray Images Using Deep Residual Learning with Separable Convolutional Networks.- Chapter 2. Identification of Neural Correlates of Face Recognition Using Machine Learning Approach.- Chapter 3. An Overview of Remote Photoplethysmography Methods for Vital Sign Monitoring.- Chapter 4. Fuzzy Inference System for Efficient Lung Cancer Detection.- Chapter 5. Medical Image Compression Scheme Using Number Theoretic Transform.- Chapter 6. The Retinal Blood Vessel Segmentation Using Expected Maximization Algorithm.- Chapter 7. Classification Algorithms to Predict Heart Diseases-A Survey.- Chapter 8. A Hybrid Filtering Based Retinal Blood Vessel Segmentation Algorithm.- Chapter 9. Laser Scar Classification in Retinal Fundus Images Using Wavelet Transform and Local Variance.- Chapter 10. Automated Segmentation of Cervical Cells Using MSER Algorithm and Gradient Embedded Cost Function Based Level Set Method.- Chapter 11. Macroscopic Reconstruction for Histopathology Images A Survey.- Chapter 12. Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques.- Chapter 13. Medical Diagnosis Under Uncertain Environment Through Bipolar-valued Fuzzy Sets.- Chapter 14. Design and Analysis of Novel Room Temperature T-Ray Source for Biomedical Imaging: Application in Full Body Prosthetics.
