WebFeb 7, 2024 · Results: Quantitative experiments show that the proposed PICT achieves 87.18%, 96.42%, and 79.41% mean DSC score on ACDC, CTPelvic1k, and the individual Multi-tissue Pelvis dataset with gains of around 0.8%, 0.5%, and 1% compared to the state-of-the-art semi-supervised method. WebDec 16, 2024 · Methods: In this paper, we aim to bridge the data gap by curating a large pelvic CT dataset pooled from multiple sources and different manufacturers, including 1, …
Bioengineering Free Full-Text Semi-Supervised …
WebPurpose: Pelvic bone segmentation in CT has always been an essential step in clinical diagnosis and surgery planning of pelvic bone diseases. Existing methods for pelvic bone segmentation are either hand-crafted or semi-automatic and achieve limited accuracy when dealing with image appearance variations due to the multi-site domain shift, the presence … WebConclusion: We believe this large-scale dataset will promote the development of the whole community and open source the images, annotations, codes, and trained baseline … postoperative physical therapy
arXiv:2012.08721v1 [cs.CV] 16 Dec 2024
WebDec 4, 2024 · The paper and code I am following is this ( GitHub - ICT-MIRACLE-lab/CTPelvic1K: Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”. ). The author provides pretrained model in the format of .pkl. They have also provided model_best.model file. WebCurates a large pelvic CT dataset pooled from multiple sources and different manufacturers, including 1, 184 CT volumes and over 320, 000 slices with different resolutions and a … WebMar 4, 2024 · CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography Spine-related diseases have high morbidity and cause a huge burden of so... Yang Deng, et al.∙ share 0 research ∙11/13/2024 Learning from partially labeled data for multi-organ and tumor segmentation total nephron in kidney