Uveal Pigmented Lesion Classification, Detection, and Segmentation: A Comparative Analysis of Machine Learning Tasks

Given different CV algorithms' different clinical use cases and development costs, this study takes a comparative look at these algorithms for the task of UM analysis on ultra-widefield fundus images.

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Publication Details

Journal
Translational Vision Science & Technology
Published
2025-10-28
DOI
https://doi.org/10.1167/tvst.14.10.35
Primary Topic
Ocular Oncology and Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Uveal Pigmented Lesion Classification, Detection, and Segmentation: A Comparative Analysis of Machine Learning Tasks

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Translational Vision Science & Technology
Ocular Oncology and Treatments
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Uveal Pigmented Lesion Classification, Detection, and Segmentation: A Comparative Analysis of Machine Learning Tasks

Darvin Yi, Michael J. Heiferman, Virginia Tasso, Sabrina P. Iddir, Sanjay Ganesh, Reem Alahmadi
article en

Abstract

Given different CV algorithms' different clinical use cases and development costs, this study takes a comparative look at these algorithms for the task of UM analysis on ultra-widefield fundus images.

Translational Vision Science & TechnologyVol. 14(10)
University of Illinois Chicago (US), Politecnico di Milano (IT)
Research to Prevent Blindness, Melanoma Research Alliance, National Institutes of Health, University of Illinois at Urbana-Champaign, University of Illinois at Chicago, National Center for Advancing Translational Sciences
Openalex Percentile: Top 55%
Ocular Oncology and Treatments
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