{"url":"/dataset/heel-bone-x-ray-dataset","name":"Heel Dataset","full_name":"Heel Bone X-Ray Dataset","description_markdown":"Heel Bone X-Ray Dataset consists of 3,956 X-ray images of the foot, primarily focused on detecting and classifying heel bone diseases. The images were obtained from Kirkuk General Hospital in Digital Imaging and Communications in Medicine (DICOM) format and converted to JPG format using the MicroDicom tool. \r\n\r\nThe dataset is labeled into three distinct classes:\r\n\r\nNormal: 1,842 images\r\nHeel Spur: 1,316 images\r\nSevere (Heel Spur Complications): 798 images\r\n\r\nAll labels were assigned by a specialist in orthopedics and traumatology and were cross-verified by a radiology specialist for validation, ensuring high-quality annotations. This dataset is valuable for training models on medical image classification, specifically targeting foot-related conditions.\r\n\r\nDataset Size: 3,956 images\r\n\r\nImage Format: JPG (originally in DICOM format)\r\n\r\nSource: Kirkuk General Hospital\r\n\r\nhttps://www.kaggle.com/datasets/osamahtaher/heel-dataset/data\r\n\r\nPaper:\r\nHeCapsNet: An enhanced capsule network for automated heel disease diagnosis using lateral foot X-Ray images.\r\n\r\nTaher, Osamah, and Kasım Özacar. \"HeCapsNet: An enhanced capsule network for automated heel disease diagnosis using lateral foot X‐Ray images.\" International Journal of Imaging Systems and Technology 34.3 (2024): e23084.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"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 image detection","url":"/task/medical-image-detection","datasets_with_task":"/datasets/task/medical-image-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Heel Dataset"],"data_loaders":[],"num_papers_in_archive":0,"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."}