Article

Automated Melanoma Screening: A Machine Learning Pipeline for Mole Detection, Boundary Segmentation, and ABCD(E) Feature Extraction

2026-07-01

Abstract excerpt

Early detection of suspicious moles remains the most effective means of reducing mortality from skin cancer, yet systematic screening is constrained by the time and expertise required for manual mole assessment. This paper presents an end-to-end computational pipeline that utilizes wide-angle skin photographs (including consumer-grade smartphone images) and produces quantitative ABCD (Asymmetry, Border irregularit...

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Literature Corpus work: b57ac02e-0493-519b-a931-9ab0979c9beb
DOI: 10.64898/2026.06.29.26356601

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