{"url":"/dataset/sysu-ceus","name":"SYSU-CEUS","full_name":null,"description_markdown":"The **SYSU-CEUS** dataset consists of three types of Focal liver lesions (FLLs): 186 HCC instances, 109 HEM instances and 58 FNH instances (i.e.,186 malignant instances and 167 benign instances).\nThis dataset is collected from the First Affiliated Hospital, Sun Yat-sen University. The equipment used was Aplio SSA-770A (Toshiba Medical System).\nAll these instances with resolution 768*576 were taken from different patients, with large variations in appearance and enhancement patterns (e.g. sizes, contrasts, shapes and locations) of the FLLs.\n\nSource: [https://github.com/lemondan/Focal-liver-lesions-dataset-in-CEUS](https://github.com/lemondan/Focal-liver-lesions-dataset-in-CEUS)","description_withheld":null,"homepage":"https://github.com/lemondan/Focal-liver-lesions-dataset-in-CEUS","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/recognizing-focal-liver-lesions-in-contrast","title":"Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model","first_author":"Xiaodan Liang","url":null},"license":null,"modalities":[{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[],"languages":[],"variants":["SYSU-CEUS"],"data_loaders":[{"repo":"https://github.com/lemondan/Focal-liver-lesions-dataset-in-CEUS","url":"https://github.com/lemondan/Focal-liver-lesions-dataset-in-CEUS","frameworks":[]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}