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Article

A Coarse-to-Fine Pathology Patch Selection for Improving Gene Mutation Prediction in Acute Myeloid Leukemia.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 1 Jul 2022

Chiu Chun-Chia, Li Jeng-Lin, Wang Yu-Fen, Ko Bor-Sheng, Lee Chi-Chun

Abstract excerpt

Identifying gene mutation is essential to prognosis and therapeutic decisions for acute myeloid leukemia (AML) but the current gene analysis is inefficient and non-scalable. Pathological images are readily accessible and can be effectively modeled using deep learning. This work aims at predicting gene mutation directly by modeling bone marrow smear images. Traditionally, bone marrow smear slides are cropped into...

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Leukemia, Myeloid, Acute
Mutation

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 36085627
DOI: 10.1109/EMBC48229.2022.9871814

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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