Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI

Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI

Abstract Background The purpose of this study is to investigate the use of radiomics and deep features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading prostate cancer. We propose a novel approach called multi-flavored feature extraction or tensor, which combines four mpM...

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Bibliographic Details
Main Authors: Hasan Khanfari, Saeed Mehranfar, Mohsen Cheki, Mahmoud Mohammadi Sadr, Samir Moniri, Sahel Heydarheydari, Seyed Masoud Rezaeijo
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BMC Medical Imaging
Subjects:
Radiomics features
Deep features
Grading
Prostate cancer
mpMRI
Online Access:https://doi.org/10.1186/s12880-023-01140-0

Internet

https://doi.org/10.1186/s12880-023-01140-0

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