Dual attention guided multiscale neural network trained with curriculum learning for noninvasive prediction of Gleason Grade Group from MRI-Reference-Cited by-同舟云学术

Dual attention guided multiscale neural network trained with curriculum learning for noninvasive prediction of Gleason Grade Group from MRI

Published:2022-12-11 Issue:4 Volume:50 Page:2279-2289
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Hu Jisu¹²,Shen Ao²,Qiao Xiaomeng³,Zhou Zhiyong²,Qian Xusheng¹²,Zheng Yi²,Bao Jie³,Wang Ximing³,Dai Yakang²

Affiliation:

1. School of Biomedical Engineering (Suzhou) Division of Life Sciences and Medicine University of Science and Technology of China Suzhou Jiangsu China

2. Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Suzhou Jiangsu China

3. Department of Radiology The First Affiliated Hospital of Soochow University Suzhou Jiangsu China

Funder

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.16102

Reference38 articles.

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3. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study

4. Head-to-head Comparison of Transrectal Ultrasound-guided Prostate Biopsy Versus Multiparametric Prostate Resonance Imaging with Subsequent Magnetic Resonance-guided Biopsy in Biopsy-naïve Men with Elevated Prostate-specific Antigen: A Large Prospective Multicenter Clinical Study

5. Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI

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