Log in to save to my catalogue

A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial...

A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2025318316

A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging

About this item

Full title

A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2018-05, Vol.96, p.252-265

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractMultiparametric magnetic resonance imaging (mpMRI) has been established as the state-of-the-art examination for the detection and localization of prostate cancer lesions. Prostate Imaging-Reporting and Data System (PI-RADS) has been established as a scheme to standardize the reporting of mpMRI findings. Although lesion delineation and PI-RA...

Alternative Titles

Full title

A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2025318316

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2025318316

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2018.03.017

How to access this item