Modern Intelligent Techniques for Image Processing /

"Modern intelligent techniques, such as deep learning, neural networks, and computer vision algorithms, enable systems to automatically detect patterns, classify objects, and generate high-quality images. With the ability to process vast amounts of visual data, intelligent image processing tran...

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Bibliographic Details
Other Authors:	Bhatti, Uzair Aslam, 1986- (Editor)
Format:	eBook
Language:	English
Published:	Hershey, PA : IGI Global Scientific Publishing, [2025]
Subjects:	Image processing > Digital techniques. Electronic books.

Table of Contents:

Title Page
Copyright Page
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: Deep Learning in Predictive Image Analysis and Forecasting
Chapter 2: Deep Learning Techniques for Image Clustering and Classification
Chapter 3: Deep Learning Techniques for Image Segmentation and Data Annotation
Chapter 4: Deep Learning Techniques for Medical Image Segmentation
Chapter 5: Explainable AI in Healthcare Imaging for Medical Diagnosis
Chapter 6: From Pixels to Precision
Chapter 7: Innovative Deep Learning Image Technologies
Chapter 8: Innovative Techniques for Image Clustering and Classification
Chapter 9: Lung Diseases Classification Using Artificial Neural Network With Ant Colony Optimization
Chapter 10: Next-Generation Image Enhancement and Restoration With Artificial Intelligence
Chapter 11: Online Biometrics
Chapter 12: Revolutionizing Dentistry
Chapter 13: Semantic Image Segmentation Employing U-Net-Based Ensemble Model
Chapter 14: Transformative Deep Learning Approaches for Enhanced Image Analysis and Processing
Chapter 15: A Comparative Analysis of Breast Cancer Classification Using Ensemble and Multi-Classifier Algorithms
Chapter 16: A Comparative Analysis of Deep Learning Approaches for Unmasking Image Forgeries
Chapter 17: A Novel Hybrid Wavelet-GAN Image Denoising System
Chapter 18: Action Recognition Identification Using Deep Learning
Chapter 19: AI-Driven-IoT (AIIoT)-Based Jawar Leaf Disease Detection
Chapter 20: Enhancing Brain Tumor Detection and Diagnosis
Chapter 21: Ethical Considerations in AI-Driven Image Processing
Chapter 22: Revolutionizing Medical Imaging and Diagnostics Through Intelligent Image Processing Techniques
Compilation of References
About the Contributors
Index