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Article

Classifying driver mutations of papillary thyroid carcinoma on whole slide image: an automated workflow applying deep convolutional neural network.

Frontiers in endocrinology - 1 Jan 2024

Tsou Peiling, Wu Chang-Jiun

Abstract excerpt

Background: Informative biomarkers play a vital role in guiding clinical decisions regarding management of cancers. We have previously demonstrated the potential of a deep convolutional neural network (CNN) for predicting cancer driver gene mutations from expert-curated histopathologic images in papillary thyroid carcinomas (PTCs). Recognizing the importance of whole slide image (WSI) analysis for clinical...

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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: 39564124
DOI: 10.3389/fendo.2024.1395979
PMCID: PMC11573888

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