Deep Learning Based on ResNet-18 for Classification of Prostate Imaging-Reporting and Data System Category 3 Lesions

Author:

Kang Zhen,Xiao Enhua,Li Zhen,Wang Liang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference30 articles.

1. MRI in early prostate cancer detection: how to manage indeterminate or equivocal PI-RADS 3 lesions?;Schoots;Transl Androl Urol,2018

2. Transverse prostate maximum sectional area can predict clinically significant prostate cancer in PI-RADS 3 lesions at multiparametric magnetic resonance imaging;Gaudiano;Front Oncol,2023

3. Radiomics in prostate cancer: an up-to-date review;Ferro;Ther Adv Urol,2022

4. Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study;Jin;BMC Med Imaging,2023

5. Repeatability of multiparametric prostate MRI radiomics features;Schwier;Sci Rep,2019

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