A Beginner's Guide to Medical Application Development with Deep Convolutional Neural Networks (Hardcover)

1. Introduction to different types of Medical Data and Image Analysis. 2. The Convolutional Neural Networks. 3. Detection of COVID-19 using a robust ensemble deep convolutional system incorporated with Inception V3 state of the art model and custom designed support Looping DCNN-small. 4. Detection and Classification of Lung and Colon Cancer, via Histopathology data with ensemble Inception V3 and Looping DCNN-large. 5. An Ensemble Deep Transfer Learning System for Classification and Detection of Malarial Cell Parasite. 6. Visualization of different categories of COVID-19 and Pneumonia X-Ray image features by using a Deep Convolutional Auto-Encoding Image-Reconstruction Network (DCARN). 7. Medical X-Ray images super resolution using Super Resolution Generative Adversarial Neural Network with Bi-Modal Multi-Perceptron Layers (SR-GANN). 8. Conclusion.