{"url":"/dataset/liver-us-liver-ultrasound-dataset","name":"Liver-US","full_name":"Liver Ultrasound Dataset for Medical Image Classification","description_markdown":"The Liver-US dataset is a comprehensive collection of high-quality ultrasound images of the liver, including both normal and abnormal cases. This dataset is designed to facilitate research in medical image classification, with a focus on liver-related conditions. It includes a diverse range of ultrasound images acquired from multiple clinical settings, providing a robust foundation for developing and validating machine learning models in medical image analysis.\r\nDetailed Dataset Description\r\n\r\nDataset Characteristics:\r\nThe Liver-US dataset contains735 ultrasound images of the liver, including both normal and abnormal cases. The dataset includes a variety of liver conditions, such as Hepatocellular Carcinoma (HCC), liver cysts, hemangiomas, and other focal liver lesions. The images were acquired using state-of-the-art ultrasound equipment, ensuring high resolution and contrast for accurate diagnosis.\r\n\r\nMotivations and Content Summary:\r\nThe primary motivation behind the creation of the Liver-US dataset is to provide a comprehensive and diverse resource for researchers working on medical image classification task related to the liver. The dataset was compiled in collaboration with leading medical institutions and includes images from a diverse patient population, ensuring representativeness and generalizability. The annotations were performed by experienced radiologists, adhering to strict quality control standards to ensure accuracy and reliability.\r\n\r\nPotential Use Cases:\r\nResearch and Development: The dataset is ideal for researchers and developers working on machine learning models for medical image classification and feature extraction.\r\nClinical Applications: It can be used to train and validate computer-aided diagnosis systems for early detection and diagnosis of liver conditions.\r\nEducational Purposes: The dataset serves as a valuable resource for training medical professionals and students in the interpretation of ultrasound images and the diagnosis of liver conditions.\r\nBenchmarking: It provides a standardized benchmark for comparing the performance of different algorithms and models in the field of medical image analysis.","description_withheld":null,"homepage":"https://github.com/Asunatan/HSQformer","introduced_date":"2025-02-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-retrospective-systematic-study-on","title":"A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma","first_author":"Chaoyin She","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Biomedical","url":"/datasets/modality/biomedical"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Medical Image Classification","url":"/task/medical-image-classification","datasets_with_task":"/datasets/task/medical-image-classification"},{"name":"Medical Diagnosis","url":"/task/medical-diagnosis","datasets_with_task":"/datasets/task/medical-diagnosis"},{"name":"Medical Image Analysis","url":"/task/medical-image-analysis","datasets_with_task":"/datasets/task/medical-image-analysis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Liver-US"],"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/classification-on-liver-us","task":"Classification","dataset_variant":"Liver-US","rows":1,"metrics":["AUC"],"first_row_in_archive_order":{"model":"HSQformer","paper":"/paper/a-retrospective-systematic-study-on","metrics":{"AUC":"83.83"},"code_links":[{"title":"Asunatan/HSQformer","url":"https://github.com/Asunatan/HSQformer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-retrospective-systematic-study-on","title":"A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma","date":"2025-02-06","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."}