A hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI-Reference-Cited by-同舟云学术

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A hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI

Published:2024-07 Issue: Volume:83 Page:102703
ISSN:0141-9382
Container-title:Displays
language:en
Short-container-title:Displays

Author:

Liu Feng,Zhao Yuanshen,Song Jukun,Tu Guilan,Liu Yadong,Peng Yunsong,Mao Jiahui,Yan Chongzhe,Wang Rongpin^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. Colorectal cancer statistics, 2020;Siegel;CA Cancer J. Clin.,2020

2. M.S. Litwin, H.-J.-J.-J. Tan, The diagnosis and treatment of prostate cancer: a review, 317 (2017) 2532–2542.

3. Tasks for artificial intelligence in prostate MRI;Belue;Eur. Radiol. Exp.,2022

4. Prostate cancer specific mortality and Gleason 7 disease differences in prostate cancer outcomes between cases with Gleason 4 + 3 and Gleason 3 + 4 Tumors in a Population Based Cohort;Wright;AUA J.,2009

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1. Enhanced fully convolutional network based on external attention for low-dose CT denoising;Proceedings of the 2024 6th International Conference on Control and Computer Vision;2024-06-13

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