Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks

Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks

Prostate cancer (PCa) is currently the second most prevalent cancer among men. Accurate diagnosis of PCa can provide effective treatment for patients and reduce mortality. Previous works have merely focused on either lesion detection or lesion classification of PCa from magnetic resonance imaging (M...

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Bibliographic Details
Main Authors: Avtantil Dimitriadis, Grigorios Kalliatakis, Richard Osuala, Dimitri Kessler, Simone Mazzetti, Daniele Regge, Oliver Diaz, Karim Lekadir, Dimitrios Fotiadis, Manolis Tsiknakis, Nikolaos Papanikolaou, ProCAncer-I Consortium, Kostas Marias
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Journal of Imaging
Subjects:
prostate cancer
cross-attention
deep learning
Online Access:https://www.mdpi.com/2313-433X/11/4/98
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https://www.mdpi.com/2313-433X/11/4/98

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