Direct Gene Expression Profile Prediction for Uveal Melanoma from Digital Cytopathology Images via Deep Learning and Salient Image Region Identification.

Liu, T Y Alvin; Chen, Haomin; Gomez, Catalina; Correa, Zelia M; Unberath, Mathias

Liu, T Y Alvin; Chen, Haomin; Gomez, Catalina; Correa, Zelia M; Unberath, Mathias.

Affiliation

Liu TYA; Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland.
Chen H; Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland.
Gomez C; Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland.
Correa ZM; Bascom Palmer Eye Institute, University of Miami, Miami, Florida.
Unberath M; Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland.

Ophthalmol Sci ; 3(1): 100240, 2023 Mar.

Article in En | MEDLINE | ID: mdl-36561353

Key words

ANN, artificial neural network; Artificial intelligence; CAM, class activation map; Cytopathology; DA, data augmentation; DL, deep learning; Deep learning; FA, feature aggregation; FNAB, fine-needle aspiration biopsy; GEP, gene expression profile; Gene expression profile; ML, machine learning; ROI, region-of-interest; UM, uveal melanoma; Uveal melanoma

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Ophthalmol Sci Year: 2023 Document type: Article Country of publication: Netherlands

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