Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

PART I: HEALTHCARE SYSTEMS 1. Machine Learning Model-Based Detection of Sperm Head Abnormalities from Stained Microscopic Images 2. Smart Healthcare System for Reliable Diagnosis of Polycystic Ovary Syndrome 3. Classification of Breast Histopathological Images Using Semi-Supervised Generative Adversarial Networks 4. A Systematic Review for Classification and Segmentation of Diabetic Retinopathy Lesion from Fundus 5. Critical Analysis of Various Supervised Machine Learning Algorithms for Detecting Diabetic Retinopathy in Images PART II: IMAGE AND VIDEO PROCESSING 6. Artificial Bee Colony Optimization Technique-Based Video Copyright Protection in DWT-PCA Domain 7. Gray Tone Spatial Dependence Matrix: Texture Feature for Image Classification 8. Image Colorization and Restoration Using Deep Learning 9. Determining Image Scale in Real-World Units Using Natural Objects Present in Image 10. Image Segmentation Using Meta-Heuristics PART III: ADVANCED MACHINE LEARNING 11. A Computer Vision Use Case: Detecting the Changes in the Amazon Rainforest Over Time 12. Using CNN and Image Processing Approaches in the Preservation of Sea Turtles 13. Deep Learning-Based Semantic Segmentation Techniques and Their Applications in Remote Sensing 14. Deep Convolutional Neural Network-Based Single Image Superresolution 15. A Review of Machine Learning Techniques for Vision-Established Human Action Recognition