Prostate cancer classification with multiparametric MRI transfer learning model-Reference-Cited by-同舟云学术

Prostate cancer classification with multiparametric MRI transfer learning model

Published:2019-01-18 Issue:2 Volume:46 Page:756-765
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Yuan Yixuan¹²,Qin Wenjian³,Buyyounouski Mark³,Ibragimov Bulat²,Hancock Steve²,Han Bin²,Xing Lei²

Affiliation:

1. Department of Electronic Engineering City University of Hong Kong Kowloon Tong Hong Kong

2. Department of Radiation Oncology Stanford University Stanford 94305USA

3. Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055People's Republic of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13367

Reference44 articles.

1. Society American Cancer.Key statistics for prostate cancer.https://www.cancer.org/cancer/prostate-cancer/about/key-statistics.html/. Accessed Jan 11 2018.

2. Upgrading and Downgrading of Prostate Cancer from Biopsy to Radical Prostatectomy: Incidence and Predictive Factors Using the Modified Gleason Grading System and Factoring in Tertiary Grades

3. Quantitative Analysis of Multiparametric Prostate MR Images: Differentiation between Prostate Cancer and Normal Tissue and Correlation with Gleason Score—A Computer-aided Diagnosis Development Study

4. Final Gleason Score Prediction Using Discriminant Analysis and Support Vector Machine Based on Preoperative Multiparametric MR Imaging of Prostate Cancer at 3T

5. Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging

Cited by 107 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Texture graph transformer for prostate cancer classification;Biomedical Signal Processing and Control;2025-01

2. Prostate cancer classification using adaptive swarm Intelligence based deep attention neural network;Biomedical Signal Processing and Control;2024-10

3. Overcoming the Small Dataset Challenge in Healthcare;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

4. Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification;Journal of Applied Statistics;2024-04-26

5. Prostate classification network (PC-Net) for automated classification of Prostate cancer in Magnetic resonance imaging;Multimedia Tools and Applications;2024-04-25