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Differentiating Choroidal Melanomas and Nevi Using a Self-Supervised Deep Learning Model Applied to Clinical Fundoscopy Images.

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第一作者： Max,Jackson

第一单位： Liverpool Ocular Oncology Research Group, Department of Eye and Vision Science, Institute of Life Course and Medical Sciences (ILCaMS), University of Liverpool, Liverpool, United Kingdom.;Department of Eye and Vision Science, ILCaMS, Liverpool, United Kingdom.

作者： Max,Jackson ^[1] ; Helen,Kalirai ^[1] ; Rumana N,Hussain ^[2] ; Heinrich,Heimann ^[2] ; Yalin,Zheng ^[3] ; Sarah E,Coupland ^[4]

作者单位： Liverpool Ocular Oncology Research Group, Department of Eye and Vision Science, Institute of Life Course and Medical Sciences (ILCaMS), University of Liverpool, Liverpool, United Kingdom.;Department of Eye and Vision Science, ILCaMS, Liverpool, United Kingdom. ^[1] Liverpool Ocular Oncology Research Group, Department of Eye and Vision Science, Institute of Life Course and Medical Sciences (ILCaMS), University of Liverpool, Liverpool, United Kingdom.;Liverpool Ocular Oncology Centre, Liverpool University Hospitals Foundation Trust (LUHFT), Liverpool, United Kingdom. ^[2] Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom.;Department of Eye and Vision Science, ILCaMS, Liverpool, United Kingdom. ^[3] Liverpool Ocular Oncology Research Group, Department of Eye and Vision Science, Institute of Life Course and Medical Sciences (ILCaMS), University of Liverpool, Liverpool, United Kingdom.;Liverpool Clinical Laboratories, LUHFT, Liverpool, United Kingdom. ^[4]

关键词 Choroidal melanoma Deep learning Foundation models Fundoscopy Nevi

DOI 10.1016/j.xops.2024.100647

PMID 39802204

发布时间 2025-01-14

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Differentiating Choroidal Melanomas and Nevi Using a Self-Supervised Deep Learning Model Applied to Clinical Fundoscopy Images.

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Differentiating Choroidal Melanomas and Nevi Using a Self-Supervised Deep Learning Model Applied to Clinical Fundoscopy Images.

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