Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest Classification-Reference-Cited by-同舟云学术

Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest Classification

Published:2024-04 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Simon Benjamin D.,Merriman Katie M.,Harmon Stephanie A.,Tetreault Jesse,Yilmaz Enis C.,Blake Zoë,Merino Maria J.,An Julie Y.,Marko Jamie,Law Yan Mee,Gurram Sandeep,Wood Bradford J.,Choyke Peter L.,Pinto Peter A.,Turkbey Baris^ORCID

Publisher

Elsevier BV

Reference27 articles.

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5. An artificial intelligence-based support tool for automation and standardisation of gleason grading in prostate biopsies;Marginean;Eur Urol Focus,2021

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

2. Value of Dynamic Contrast-Enhanced MRI for Grade Group Prediction in Prostate Cancer: A Radiomics Pilot Study;Academic Radiology;2024-08