Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods

ISBN-13: 9780323961295 / Angielski / Miękka / 2023

Kemal Polat; Saban Ozturk

Spis treści

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