ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions

Prostate cancer diagnosis and treatment relies on precise MRI lesion segmentation, a challenge notably for small (

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Bibliographic Details
Published in:Patterns (New York, N.Y.) N.Y.), 2024-07, Vol.5 (7), p.100992, Article 100992
Main Authors: Zaridis, Dimitrios I., Mylona, Eugenia, Tsiknakis, Nikos, Tachos, Nikolaos S., Matsopoulos, George K., Marias, Kostas, Tsiknakis, Manolis, Fotiadis, Dimitrios I.
Format: Article
Language:English
Subjects:
cancer detection
deep learning
magnetic resonance imaging
medical imaging
multi-scale attention
prostate lesion segmentation
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Description
Summary:Prostate cancer diagnosis and treatment relies on precise MRI lesion segmentation, a challenge notably for small (
ISSN:2666-3899
2666-3899
DOI:10.1016/j.patter.2024.100992