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

OBJECTIVE: To demonstrate that deep learning (DL) methods can produce robust prediction of gene expression profile (GEP) in uveal melanoma (UM) based on digital cytopathology images. DESIGN: Evaluation of a diagnostic test or technology. SUBJECTS, PARTICIPANTS, AND CONTROLS: Deidentified smeared cyt...

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Detalles Bibliográficos
Autores principales: Liu, T. Y. Alvin, Chen, Haomin, Gomez, Catalina, Correa, Zelia M., Unberath, Mathias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764247/
https://www.ncbi.nlm.nih.gov/pubmed/36561353
http://dx.doi.org/10.1016/j.xops.2022.100240

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764247/
https://www.ncbi.nlm.nih.gov/pubmed/36561353
http://dx.doi.org/10.1016/j.xops.2022.100240

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