Deep learning based classification of solid lipid-poor contrast enhancing renal masses using contrast enhanced CT

OBJECTIVE: Establish a workflow that utilizes convolutional neural nets (CNN) to classify solid, lipid-poor, contrast enhancing renal masses using multiphase contrast enhanced CT (CECT) images and to assess the performance of the resulting network. METHODS: In this institutional review board approve...

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Publicat a:Br J Radiol
Autors principals: Oberai, Assad, Varghese, Bino, Cen, Steven, Angelini, Tomas, Hwang, Darryl, Gill, Inderbir, Aron, Manju, Lau, Christopher, Duddalwar, Vinay
Format: Artigo
Idioma:Inglês
Publicat: The British Institute of Radiology. 2020
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7336076/
https://ncbi.nlm.nih.gov/pubmed/32356484
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjr.20200002
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