Less-Supervised Segmentation with CNNs
Scenarios, Models and Optimization
Jose Dolz editor Ismail Ben Ayed editor Christian Desrosiers editor
Format:Paperback
Publisher:Elsevier Science & Technology
Publishing:1st Dec '28
£92.95
This title is due to be published on 1st December, and will be despatched as soon as possible.
Less-Supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main approaches and state-of-the-art models and includes a broad array of applications in medical image segmentation, including healthcare, oncology, cardiology and neuroimaging. A key objective is to make this mathematical subject accessible to a broad engineering and computing audience by using a large number of intuitive graphical illustrations. The emphasis is on giving conceptual understanding of the methods to foster easier learning. This book is highly suitable for researchers and graduate students in computer vision, machine learning and medical imaging.
ISBN: 9780323956741
Dimensions: unknown
Weight: 450g
275 pages