{"url":"/dataset/ppmr-dataset","name":"PPMR Dataset","full_name":"pediatric polymicrogyria MRI dataset","description_markdown":"This dataset contains 23 patients in total. Within each patients MRI, not all images show evidence of PMG and some\r\nslices are normal. Although the ratio between controls and patients is 3:1, the ratio between normal slices and anomaly\r\nslices is around 5:1. Each patient’s brain includes around 150 scans on average.\r\n\r\nSource: [A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRI](https://arxiv.org/pdf/2211.12565.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.12565.pdf](https://arxiv.org/pdf/2211.12565.pdf)","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/lingfengzhang/pediatric-polymicrogyria-mri-dataset","introduced_date":"2022-11-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-novel-center-based-deep-contrastive-metric","title":"A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRI","first_author":"Lingfeng Zhang","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["PPMR Dataset"],"data_loaders":[],"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."}