Clinically Significant Prostate Cancer Prediction Using Multimodal Deep Learning with Prostate-Specific Antigen Restriction

Clinically Significant Prostate Cancer Prediction Using Multimodal Deep Learning with Prostate-Specific Antigen Restriction

Prostate cancer (PCa) is a clinically heterogeneous disease. Predicting clinically significant PCa with low–intermediate prostate-specific antigen (PSA), which often includes aggressive cancers, is imperative. This study evaluated the predictive accuracy of deep learning analysis using multimodal me...

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Bibliographic Details
Main Authors: Hayato Takeda, Jun Akatsuka, Tomonari Kiriyama, Yuka Toyama, Yasushi Numata, Hiromu Morikawa, Kotaro Tsutsumi, Mami Takadate, Hiroya Hasegawa, Hikaru Mikami, Kotaro Obayashi, Yuki Endo, Takayuki Takahashi, Manabu Fukumoto, Ryuji Ohashi, Akira Shimizu, Go Kimura, Yukihiro Kondo, Yoichiro Yamamoto
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Current Oncology
Subjects:
deep learning
prostate cancer
clinically significant prostate cancer
multimodal data
PSA
Online Access:https://www.mdpi.com/1718-7729/31/11/530
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