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Skin Lesion Classification datasets

archive 2025-07-28

8 datasets carry the task tag "Skin Lesion Classification" (the task itself: Skin Lesion Classification), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Skin Lesion Classification datasets 1–8 of 8

HAM10000 is a dataset of 10000 training images for detecting pigmented skin lesions.
209 papers · 2 benchmarks
The MSK dataset is a dataset for lesion recognition from the Memorial Sloan-Kettering Cancer Center.
15 papers · 0 benchmarks
The goal for ISIC 2019 is classify dermoscopic images among nine different diagnostic categories.25,331 images are available for training across 8 different categories.
13 papers · 3 benchmarks
BCN20000 is a dataset composed of 19,424 dermoscopic images of skin lesions captured from 2010 to 2016 in the facilities of the Hospital Clínic in Barcelona.
11 papers · 0 benchmarks
The SD-198 dataset contains 198 different diseases from different types of eczema, acne and various cancerous conditions.
11 papers · 0 benchmarks
Over the past few years, different Computer-Aided Diagnosis (CAD) systems have been proposed to tackle skin lesion analysis.
7 papers · 1 benchmark
ISIC 2020 Challenge Dataset (Official dataset of the SIIM-ISIC Melanoma Classification Challenge 2020)
The dataset contains 33,126 dermoscopic training images of unique benign and malignant skin lesions from over 2,000 patients.
6 papers · 1 benchmark
MCSI (Mpox Close Skin Images)
The Mpox Close Skin Images dataset (MCSI) is a collection of skin images obtained from diverse public sources, that we accurately pre-processed (i.e., cropped and zoomed) in order to focus the skin lesion (if present), and to evaluate…
2 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.