Author Description

<p>This book serves as a source of introductory material and reference for medical application development and related technologies by providing the detailed implementation of cutting-edge deep learning methodologies. It targets cloud-based advanced medical application developments using open-source Python-based deep learning libraries. It includes code snippets and sophisticated convolutional neural networks to tackle real-world problems in medical image analysis and beyond.</p> <p>Features:</p> <ul> <li>Provides programming guidance for creation of sophisticated and reliable neural networks for image processing.</li> <li>Incorporates the comparative study on GAN, stable diffusion, and its application on medical image data augmentation.</li> <li>Focuses on solving real-world medical imaging problems.</li> <li>Discusses advanced concepts of deep learning along with the latest technology such as GPT, stable diffusion, and ViT.</li> <li>Develops applicable knowledge of deep learning using Python programming, followed by code snippets and OOP concepts.</li> </ul> <p>This book is aimed at graduate students and researchers in medical data analytics, medical image analysis, signal processing, and deep learning.</p>