AIMC Topic: Eyelid Neoplasms

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Computer-aided diagnosis of eyelid skin tumors using machine learning.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie Aug 28, 2024
OBJECTIVE: To develop an automated, new framework based on machine learning to diagnose malignant eyelid skin tumors.
Humans Machine Learning Retrospective Studies Female Skin Neoplasms Male Diagnosis, Computer-Assisted Eyelids Eyelid Neoplasms
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A Self-Supervised Learning Based Framework for Eyelid Malignant Melanoma Diagnosis in Whole Slide Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
Eyelid malignant melanoma (MM) is a rare disease with high mortality. Accurate diagnosis of such disease is important but challenging. In clinical practice, the diagnosis of MM is currently performed manually by pathologists, which is subjective and ...
Humans Algorithms Melanoma Supervised Machine Learning Image Interpretation, Computer-Assisted Eyelid Neoplasms
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Automated identification of malignancy in whole-slide pathological images: identification of eyelid malignant melanoma in gigapixel pathological slides using deep learning.

The British journal of ophthalmology Jul 13, 2019
BACKGROUND/AIMS: To develop a deep learning system (DLS) that can automatically detect malignant melanoma (MM) in the eyelid from histopathological sections with colossal information density.
Humans Artificial Intelligence Algorithms Retrospective Studies Melanoma Deep Learning ROC Curve Eyelids Eyelid Neoplasms
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