Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods

1. Introduction to Deep Learning and Diagnosis in Medicine<br>2. 1D CNN based identification of Sleep disorders using EEG signals<br>3. Classification of Histopathological Colon Cancer Images Using PSO based Feature Selection Algorithm<br>4. Arrhythmia Diagnosis from ECG Signal Pulses with One?Dimensional Convolutional Neural Network<br>5. Patch-based Approaches to Whole Slide Histologic Grading of Breast Cancer using Convolutional Neural Networks<br>6. Deep neural architecture for the breast cancer detection from medical CT image modalities<br>7. Automated Analysis of Phase-Contrast Optical Microscopy Time-Lapse Images: Application to Wound Healing and Cell Motility Assays of Breast Cancer<br>8. Automatic detection of normal structures and pathological changes in radiological chest images using deep learning methods<br>9. Adversarial attacks: dependence on medical image type, CNN architecture as well as on the attack and defense methods<br>10. A Deep Ensemble Network for Lung Segmentation with Stochastic Weighted Averaging<br>11. Ensemble of segmentation approaches based on convolutional neural networks<br>12. Classification of diseases from CT images using LSTM based CNN This chapter explains LSTM modules, CT dataset, and CT related diseases<br>13. A Novel Polyp Segmentation Approach using U-net with Saliency-like Feature Fusion