{"url":"/dataset/ph2","name":"PH2","full_name":null,"description_markdown":"The increasing incidence of melanoma has recently promoted the development of computer-aided diagnosis systems for the classification of dermoscopic images. The PH² dataset has been developed for research and benchmarking purposes, in order to facilitate comparative studies on both segmentation and classification algorithms of dermoscopic images. PH² is a dermoscopic image database acquired at the Dermatology Service of Hospital Pedro Hispano, Matosinhos, Portugal.","description_withheld":null,"homepage":"https://www.fc.up.pt/addi/ph2%20database.html","introduced_date":"2022-03-27","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Lesion Segmentation","url":"/task/lesion-segmentation","datasets_with_task":"/datasets/task/lesion-segmentation"},{"name":"Skin Cancer Segmentation","url":"/task/skin-cancer-segmentation","datasets_with_task":"/datasets/task/skin-cancer-segmentation"}],"languages":[],"variants":["PH2"],"data_loaders":[{"repo":"https://github.com/hashbanger/Skin_Lesion_Segmentation","url":"https://github.com/hashbanger/Skin_Lesion_Segmentation","frameworks":["pytorch"]}],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/lesion-segmentation-on-ph2","task":"Lesion Segmentation","dataset_variant":"PH2","rows":3,"metrics":["Dice Score"],"first_row_in_archive_order":{"model":"IARS SegNet","paper":"/paper/iars-segnet-interpretable-attention-residual","metrics":{"Dice Score":"0.9712"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/semantic-segmentation-on-ph2","task":"Semantic Segmentation","dataset_variant":"PH2","rows":2,"metrics":["Average Dice","Average IOU"],"first_row_in_archive_order":{"model":"MobileUNETR","paper":"/paper/mobileunetr-a-lightweight-end-to-end-hybrid","metrics":{"Average Dice":"95.70","Average IOU":"92.30"},"code_links":[{"title":"osupcvlab/mobileunetr","url":"https://github.com/osupcvlab/mobileunetr"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/skin-cancer-segmentation-on-ph2","task":"Skin Cancer Segmentation","dataset_variant":"PH2","rows":1,"metrics":["IoU"],"first_row_in_archive_order":{"model":"SegNet","paper":"/paper/skin-lesion-segmentation-using-segnet-with","metrics":{"IoU":"93.61"},"code_links":[{"title":"hashbanger/Skin_Lesion_Segmentation","url":"https://github.com/hashbanger/Skin_Lesion_Segmentation"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mobileunetr-a-lightweight-end-to-end-hybrid","title":"MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation","date":"2024-09-04","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/iars-segnet-interpretable-attention-residual","title":"IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation","date":"2023-10-31","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/dermosegdiff-a-boundary-aware-segmentation","title":"DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation","date":"2023-08-05","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/mfsnet-a-multi-focus-segmentation-network-for","title":"MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation","date":"2022-03-27","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/skin-lesion-segmentation-using-segnet-with","title":"Skin Lesion Segmentation using SegNet with Binary Cross-Entropy","date":"2019-11-15","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}