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Skin Cancer Segmentation datasets

archive 2025-07-28

3 datasets carry the task tag "Skin Cancer Segmentation" (the task itself: Skin Cancer Segmentation), ordered by the archive's paper count. Page 1 of 1: 3 shown of 3. 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 Cancer Segmentation datasets 1–3 of 3

The SD-198 dataset contains 198 different diseases from different types of eczema, acne and various cancerous conditions.
11 papers · 0 benchmarks
The increasing incidence of melanoma has recently promoted the development of computer-aided diagnosis systems for the classification of dermoscopic images.
10 papers · 3 benchmarks
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

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.