Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study.

Aged Algorithms Contrast Media Feasibility Studies Humans Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging / methods Male Middle Aged Neural Networks, Computer Prostate / pathology Prostatic Neoplasms / diagnostic imaging
Dynamic contrast enhancement Magnetic resonance imaging Prostate cancer Recurrent convolutional networks

Journal

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
ISSN: 1879-0771
Titre abrégé: Comput Med Imaging Graph
Pays: United States
ID NLM: 8806104

Informations de publication

Date de publication:
07 2019
Historique:
received: 08 09 2018
revised: 15 04 2019
accepted: 26 04 2019
pubmed: 23 5 2019
medline: 2 10 2020
entrez: 23 5 2019
Statut: ppublish

Résumé

Dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) is a method of temporal imaging that is commonly used to aid in prostate cancer (PCa) diagnosis and staging. Typically, machine learning models designed for the segmentation and detection of PCa will use an engineered scalar image called K

Identifiants

DOI: 10.1016/j.compmedimag.2019.04.006 PMID: 31117012
pubmed: 31117012
pii: S0895-6111(18)30533-0
doi: 10.1016/j.compmedimag.2019.04.006
pii:
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

14-23

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Peter Q Lee (PQ)

Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada.

Alessandro Guida (A)

Biomedical Translational Imaging Centre, Nova Scotia Health Authority and IWK Health Centre, Halifax, NS, Canada.

Steve Patterson (S)

Nova Scotia Health Research Foundation, Halifax, NS, Canada.

Thomas Trappenberg (T)

Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada.

Chris Bowen (C)

Biomedical Translational Imaging Centre, Nova Scotia Health Authority and IWK Health Centre, Halifax, NS, Canada; Department of Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada.

Steven D Beyea (SD)

Biomedical Translational Imaging Centre, Nova Scotia Health Authority and IWK Health Centre, Halifax, NS, Canada; Department of Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada.

Jennifer Merrimen (J)

Department of Pathology, Dalhousie University, Halifax, NS, Canada.

Cheng Wang (C)

Department of Pathology, Dalhousie University, Halifax, NS, Canada.

Sharon E Clarke (SE)

Biomedical Translational Imaging Centre, Nova Scotia Health Authority and IWK Health Centre, Halifax, NS, Canada; Department of Physics & Atmospheric Science, Dalhousie University, Halifax, NS, Canada; Department of Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada. Electronic address: sharon.clarke@dal.ca.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Actions chimiques et utilisations › Utilisations spécialisées de produits chimiques › Produits de contraste › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études de faisabilité › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Traitement d'image par ordinateur › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Apprentissage machine › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Réseaux neuronaux (ordinateur) › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Tissus › Glandes exocrines › Prostate › Model-free prostate cancer segmentation from...
questionsmedicales.fr › Maladies urogénitales › Tumeurs de l'appareil urogénital › Tumeurs de l'appareil génital mâle › Tumeurs de la prostate › Model-free prostate cancer segmentation from...