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Article

Artificial intelligence to predict the BRAFV600E mutation in patients with thyroid cancer.

PloS one - 1 Jan 2020

Yoon Jiyoung, Lee Eunjung, Koo Ja Seung, Yoon Jung Hyun, Nam Kee-Hyun, Lee Jandee, Jo Young Suk, Moon Hee Jung, Park Vivian Youngjean, Kwak Jin Young

Abstract excerpt

PURPOSE: To investigate whether a computer-aided diagnosis (CAD) program developed using the deep learning convolutional neural network (CNN) on neck US images can predict the BRAFV600E mutation in thyroid cancer. METHODS: 469 thyroid cancers in 469 patients were included in this retrospective study. A CAD program recently developed using the deep CNN provided risks of malignancy (0-100%) as well as binary...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Proto-Oncogene Proteins B-raf

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Identifiers

PMID: 33237975
DOI: 10.1371/journal.pone.0242806
PMCID: PMC7688114

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