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

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第一作者： T Y Alvin,Liu

第一单位： Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland.

作者： T Y Alvin,Liu ^[1] ; Haomin,Chen ^[2] ; Catalina,Gomez ^[2] ; Zelia M,Correa ^[3] ; Mathias,Unberath ^[2]

作者单位： Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland. ^[1] Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland. ^[2] Bascom Palmer Eye Institute, University of Miami, Miami, Florida. ^[3]

关键词 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

DOI 10.1016/j.xops.2022.100240

PMID 36561353

发布时间 2022-12-24

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

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

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