Engineering > eBook-PDF > [eBook][PDF] | Deep Learning Applications in Medical Image Segmentation: Overview, Approaches, and (All)
[eBook][PDF] | Deep Learning Applications in Medical Image Segmentation: Overview, Approaches, and Challenges 1st Edition | Print ISBN: 9781394245338 and 1394245335 and eText ISBN: 9781394245345 and 1394245343 | by Sajid Yousuf Bhat, Aasia Rehman, and Muhammad Abulaish | Published by Wiley-IEEE Press in 2025
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This high-quality PDF is available with Print ISBN: 9781394245338 and 1394245335 and eText ISBN: 9781394245345 and 1394245343. Deep Learning Applications in Medical Image Segmentation: Overview, Appro... aches, and Challenges offers a comprehensive exploration of how deep learning technologies are revolutionizing the field of medical image segmentation. The book provides an in-depth analysis of various deep learning models, including FCN, UNet, SegNet, and DeepLab, and discusses their applications in segmenting different organs and organ systems. It also examines recent advancements in segmenting brain tumors, retinal vessels, and inner ear structures, as well as the use of Generative Adversarial Networks (GANs) to enhance segmentation accuracy. Furthermore, the authors address the key challenges faced in medical image segmentation using deep learning techniques and provide insights into future trends in this rapidly evolving field. This 1st edition is categorized under Technology & Engineering / Biomedical Engineering / Medical Imaging. ✅ Lifetime Access | ✅ Instant Download | ✅ Interactive PDF [Show More]
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