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Less-Supervised Segmentation with Cnns

Less-Supervised Segmentation with Cnns


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About the Book

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. It presents the main approaches and state-of-the-art models and presents 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.


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Product Details
  • ISBN-13: 9780323956741
  • Publisher: Elsevier Science
  • Publisher Imprint: Academic Press
  • Height: 235 mm
  • No of Pages: 275
  • Series Title: The Miccai Society Book
  • Sub Title: Scenarios, Models and Optimization
  • Width: 191 mm
  • ISBN-10: 0323956742
  • Publisher Date: 01 Nov 2023
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Spine Width: 0 mm
  • Weight: 750 gr


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