Integrating multimodal imaging and peritumoral features for enhanced prostate cancer diagnosis: A machine learning approach.

Integrating multimodal imaging and peritumoral features for enhanced prostate cancer diagnosis: A machine learning approach.

<h4>Background</h4>Prostate cancer is a common malignancy in men, and accurately distinguishing between benign and malignant nodules at an early stage is crucial for optimizing treatment. Multimodal imaging (such as ADC and T2) plays an important role in the diagnosis of prostate cancer,...

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Bibliographic Details
Main Authors: Huadi Zhou, Mei Xie, Hemiao Shi, Chenhan Shou, Meng Tang, Yue Zhang, Yue Hu, Xiao Liu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0323752
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