This book serves as source of introductory material and reference for medical application development and related technologies by providing the detailed implementation of the cutting-edge deep learning methodologies. It targets the cloud based advanced medical application developments using open-source python based deep learning libraries. It includes code snippets and sophisticated Convolutional Neural Networks (CNNs) to tackle real-world problems in medical image analysis and beyond.
Features:
- Provides programming guidance for creation of sophisticated and reliable neural networks for image processing.
- Incorporates the comparative study on GAN, Stable diffusion and its application on Medical Image data augmentation.
- Focusses on solving real world medical imaging problems.
- Discuses advanced concepts of Deep Learning along with latest technology like GPT, Stable Diffusion, ViT.
- Develops applicable knowledge of Deep Learning using Pyth
