Cargando…

Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335

Detalles Bibliográficos
Autores principales: Jue, Joshua S., Mikhail, David, González, Javier, Alameddine, Mahmoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303613/
https://www.ncbi.nlm.nih.gov/pubmed/34359296
http://dx.doi.org/10.3390/diagnostics11071213
_version_ 1783727130057637888
author Jue, Joshua S.
Mikhail, David
González, Javier
Alameddine, Mahmoud
author_facet Jue, Joshua S.
Mikhail, David
González, Javier
Alameddine, Mahmoud
author_sort Jue, Joshua S.
collection PubMed
description
format Online
Article
Text
id pubmed-8303613
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-83036132021-07-25 Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335 Jue, Joshua S. Mikhail, David González, Javier Alameddine, Mahmoud Diagnostics (Basel) Comment MDPI 2021-07-05 /pmc/articles/PMC8303613/ /pubmed/34359296 http://dx.doi.org/10.3390/diagnostics11071213 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Comment
Jue, Joshua S.
Mikhail, David
González, Javier
Alameddine, Mahmoud
Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335
title Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335
title_full Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335
title_fullStr Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335
title_full_unstemmed Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335
title_short Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335
title_sort value of mri to improve deep learning model that identifies high-grade prostate cancer. comment on gentile et al. optimized identification of high-grade prostate cancer by combining different psa molecular forms and psa density in a deep learning model. diagnostics 2021, 11, 335
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303613/
https://www.ncbi.nlm.nih.gov/pubmed/34359296
http://dx.doi.org/10.3390/diagnostics11071213
work_keys_str_mv AT juejoshuas valueofmritoimprovedeeplearningmodelthatidentifieshighgradeprostatecancercommentongentileetaloptimizedidentificationofhighgradeprostatecancerbycombiningdifferentpsamolecularformsandpsadensityinadeeplearningmodeldiagnostics202111335
AT mikhaildavid valueofmritoimprovedeeplearningmodelthatidentifieshighgradeprostatecancercommentongentileetaloptimizedidentificationofhighgradeprostatecancerbycombiningdifferentpsamolecularformsandpsadensityinadeeplearningmodeldiagnostics202111335
AT gonzalezjavier valueofmritoimprovedeeplearningmodelthatidentifieshighgradeprostatecancercommentongentileetaloptimizedidentificationofhighgradeprostatecancerbycombiningdifferentpsamolecularformsandpsadensityinadeeplearningmodeldiagnostics202111335
AT alameddinemahmoud valueofmritoimprovedeeplearningmodelthatidentifieshighgradeprostatecancercommentongentileetaloptimizedidentificationofhighgradeprostatecancerbycombiningdifferentpsamolecularformsandpsadensityinadeeplearningmodeldiagnostics202111335