Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care (Springer Series in Reliability Engineering)

Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care (Springer Series in Reliability Engineering)

by Manoj Diwakar , Vinayakumar Ravi

This book provides a comprehensive explanation of medical image processing and analysis using deep learning algorithms. It highlights the latest achievements and developments in applying these methods to medical imaging, clinical workflows, and broader healthcare applications.

Coverage includes:

• Image acquisition and formation

• Computer-aided diagnosis

• Image classification

• Feature extraction

• Image enhancement and segmentation

Although tasks such as segmentation, visualization, registration, and navigation may appear distinct, in practice they are closely interconnected in the effort to solve clinical challenges. With the rise of deep learning, researchers have achieved record-setting performance across these domains, establishing new standards for medical image analysis.

The rapid expansion of imaging modalities—including CT, ultrasound, and MRI—has generated vast quantities of data. Deep learning is uniquely suited to extract meaningful patterns from these large, complex datasets. As the field has matured, techniques have evolved from general-purpose models to highly specialized architectures tailored for medical applications. This progress has enabled innovative approaches to problems such as image reconstruction, disease detection, and automated interpretation.