PFUS1: Premier Pelvic Floor Ultrasound Segmentation Dataset

This dataset comprises pelvic floor ultrasound images in the midsagittal plane, involving segmentation of eight structures, from 110 patients. The dataset is structured as follows: at the top level, there is a directory named "data" containing 110 folders, each corresponding to a patient, named "PXXX", where XXX is the patient identifier (from 000 to 109).Each patient folder contains two files per image frame: a PNG file with the ultrasound image and a JSON file with the segmentation polygons. Each file is named "frame\_YYY\.png" or "frame\_YYY\.json" respectively, where YYY is the video frame number.Each JSON file with the segmentation polygons is structured as a list of eight dictionaries. Each dictionary has two keys: "label" and "pol". The "label" key identifies the organ with a string, and the "pol" key is a list of pairs (x, y) defining the points list of the polygon. An example of a JSON file is shown below: [ { "pol": [[800, 400], [848, 320], ...., [796, 401]], "label": "Levator ani muscle" }, { "pol": [[750, 371], [794, 384], ...., [726, 426]], "label": "Rectum" }, ... ... ... ]