Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification

Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification

The current standardized scheme for interpreting MRI requires a high level of expertise and exhibits a significant degree of inter-reader and intra-reader variability. An automated prostate cancer (PCa) classification can improve the ability of MRI to assess the spectrum of PCa. The purpose of the s...

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Bibliographic Details
Main Authors: Yongkai Liu, Haoxin Zheng, Zhengrong Liang, Qi Miao, Wayne G. Brisbane, Leonard S. Marks, Steven S. Raman, Robert E. Reiter, Guang Yang, Kyunghyun Sung
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Diagnostics
Subjects:
prostate cancer classification
texture analysis
deep learning
convolutional neural network
PI-RADS
Online Access:https://www.mdpi.com/2075-4418/11/10/1785

Internet

https://www.mdpi.com/2075-4418/11/10/1785

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