A Comparative Evaluation of Pre-trained Convolutional Neural Networks for Melanoma Detection
Paper recorded by Signals 4 on 2026-09-10 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-10 on arXiv · recorded by Signals 4 on 2026-09-11
Category: cs.CV · 计算机视觉 · first seen 2026-09-11
Abstract
Early diagnosis of melanoma is critical for improving patient survival rates. However, accurately distinguishing melanoma from other skin lesions remains a significant clinical challenge due to the high visual similarity among lesion types and variability in image acquisition conditions. Artificial intelligence, particularly machine learning, has emerged as a promising tool to support dermatologic
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Cite this page: A Comparative Evaluation of Pre-trained Convolutional Neural Networks for Melanoma Detection: the #94 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-comparative-evaluation-of-pre-trained-convolutional-neural-networks-for-melano.html
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