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Book . 2025
License: CC BY NC
Data sources: Datacite
ZENODO
Book . 2025
License: CC BY NC
Data sources: Datacite
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Comprehensive Guide to U-Net for Medical Imaging: Deep Learning Architectures for Biomedical Image Segmentation

Authors: Rahi, Alireza;

Comprehensive Guide to U-Net for Medical Imaging: Deep Learning Architectures for Biomedical Image Segmentation

Abstract

This book provides a comprehensive guide to U-Net and its applications in medical imaging. It covers deep learning architectures for biomedical image segmentation, including practical examples, explanations of neural network structures, and step-by-step implementation techniques. The book is aimed at researchers, students, and professionals interested in medical image analysis and deep learning.

Keywords

Artificial Intelligence, Biomedical Engineering, Medical biotechnology, U-Net, Medical Imaging, Deep Learning, Biomedical Image Segmentation, CNN, Neural Networks, AI in Medicine, FOS: Medical engineering, FOS: Medical biotechnology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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