{"url":"/dataset/heartseg","name":"HeartSeg","full_name":"HeartSeg","description_markdown":"The medaka (Oryzias latipes) and the zebrafish (Danio rerio) are used as a model organism for a variety of subjects in biomedical research. The presented work aims to study the potential of automated ventricular dimension estimation through heart segmentation in medaka. For more on this, it's time for a closer look on our paper and the supplementary materials.\r\n\r\nSee our paper here: https://www.liebertpub.com/doi/10.1089/zeb.2019.1754\r\n\r\nSee demonstration of our algorithm and framework on the test set data:\r\nhttps://youtu.be/i5bX_XbwXq0\r\n\r\nThe raw data was provided by:\r\nDr. Jakob Gierten\r\n\r\nAffiliated with:\r\nDepartment of Pediatric Cardiology, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120 Heidelberg, Germany\r\nCentre for Organismal Studies, Heidelberg University, Im Neuenheimer Feld 230, 69120 Heidelberg, Germany\r\n\r\nContributing\r\n\r\nWe hope this work sparks additional research in this direction. Either by contributing to this framework, deploying the framework, or reusing the annotated ground truth data.\r\nIn any case feel free to reach out and make sure to reference this work.\r\n\r\nSchutera, M., Just, S., Gierten, J., Mikut, R., Reischl, M., & Pylatiuk, C. (2019). Machine learning methods for automated quantification of ventricular dimensions. Zebrafish, 16(6), 542-545.\r\nContact: mark.schutera@kit.edu and pylatiuk@kit.edu","description_withheld":null,"homepage":"https://osf.io/snb6p/","introduced_date":"2019-09-19","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Biology","url":"/datasets/modality/biology"},{"name":"Biomedical","url":"/datasets/modality/biomedical"},{"name":"Medical","url":"/datasets/modality/medical"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["HeartSeg"],"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."}