Artificial Intelligence > eBook-PDF > Generative Machine Learning Models in Medical Image Computing ISBN: 9783031809644, 9783031809651 (All)

Generative Machine Learning Models in Medical Image Computing ISBN: 9783031809644, 9783031809651

Document Content and Description Below

Download eBook PDF Generative Machine Learning Models in Medical Image Computing, 1st Edition, edited by Le Zhang, Chen Chen, Zeju Li, and Greg Slabaugh, published by Springer in 2025. This comprehens ... ive book provides an in-depth exploration of cutting-edge generative modeling techniques specifically tailored for the unique demands of medical imaging. It examines how models such as GANs, VAEs, and diffusion models enable groundbreaking applications in medical image synthesis, reconstruction, and enhancement across diverse modalities like MRI, CT, and ultrasound. The volume illustrates how these models improve image quality, support data augmentation for scarce datasets, and create new avenues for predictive diagnostics. Beyond technical details, the book addresses critical challenges in deploying generative models in healthcare, including ethical concerns, interpretability, and clinical validation. With a strong focus on real-world applications, it includes case studies and implementation guidelines, making it an essential resource for researchers, clinicians, and data scientists seeking to leverage generative models to enhance biomedical imaging and deliver impactful healthcare solutions. Categories: Higher Education, Artificial Intelligence, Medical Studies, Research Paper, Study Guide ✅ Lifetime Access | ✅ Instant Download | ✅ Interactive PDF [Show More]

Last updated: 6 months ago

Preview 1 out of 373 pages

Buy Now

Instant download

We Accept: