Chapter. 1. Role of Machine learning in Detection and Classification of Leukemia: A Comparative Analysis -- Chapter. 2. A Review on Mode Collapse Reducing GANs with GAN's Algorithm and Theory -- Chapter. 3. Medical Image Synthesis using Generative Adversarial Networks -- Chapter. 4. Chest X-ray data augmentation with Generative Adversarial Networks for pneumonia and COVID diagnosis -- Chapter. 5. State of the Art Framework based Detection of GAN Generated Face Images -- Chapter. 6. Data Augmentation in Classifying Chest Radiograph Images (CXR) using DCGAN-CNN -- Chapter. 7. Data Augmentation Approaches Using Cycle Consistent Adversarial Networks -- Chapter. 8. Geometric Transformations-based Medical Image Augmentation -- Chapter. 9. Generative Adversarial Learning for Medical Thermal Imaging Analysis -- Chapter. 10. Improving Performance of a Brain Tumor Detection on MRI Images using DCGAN-based Data Augmentation and Vision Transformer(ViT) Approach -- Chapter. 11. Combining Super-Resolution GAN and DC GAN for Enhancing Medical Image Generation: A Study on Improving CNN Model Performance -- Chapter. 12. GAN for Augmenting Cardiac MRI Segmentation -- Chapter. 13. WGAN for Data Augmentation -- Chapter. 14. Image Segmentation in Medical Images by Using Semi - Supervised Methods.