{"url":"/dataset/egc-fphfs","name":"EGC-FPHFS","full_name":"Early Gastric Cancer Data from First People's Hospital of Foshan","description_markdown":"High-resolution early gastric cancer (EGC) detection and analysis:\r\nPatient Data：Datasets often include images from patients diagnosed with gastric cancer, specifically distinguishing between early gastric cancer (EGC) and Non -pathogenic gastric cancer (NGC).  The study utilized data from 341 patients, with 124 classified as EGC and 217 as NGC.\r\nImage Types: High-resolution images are typically obtained from endoscopy image.\r\nData Volume: The size of datasets mentioned a dataset of 1120 images specifically for EGC detection and 2150 images for NGC.","description_withheld":null,"homepage":"https://github.com/liu37972/Fuzzy-Seg-Deep-DuS-KFCM-.git","introduced_date":"2024-12-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-NC-ND","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"2D Object Detection","url":"/task/2d-object-detection","datasets_with_task":"/datasets/task/2d-object-detection"},{"name":"task","url":null,"datasets_with_task":"/datasets/task/task"},{"name":"Blood Detection","url":"/task/blood-detection","datasets_with_task":"/datasets/task/blood-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["EGC-FPHFS"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/blood-detection-on-egc-fphfs","task":"Blood Detection","dataset_variant":"EGC-FPHFS","rows":1,"metrics":["-1' OR 3*2<(0+5+964-964) or '37tbCgjV'='"],"first_row_in_archive_order":{"model":"Deep DuS-KFCDeep DuS-KFCM","paper":"/paper/gastric-histopathology-image-segmentation","metrics":{"-1' OR 3*2<(0+5+964-964) or '37tbCgjV'='":"0-255"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/gastric-histopathology-image-segmentation","title":"Gastric histopathology image segmentation using a hierarchical conditional random field","date":"2020-03-03","rows_on_this_dataset":1,"code_links":0,"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."}