WebApr 4, 2024 · We therefore organized the MyoPS challenge 2024 in conjunction with MICCAI 2024. Specifically, the challenge provided three-sequence CMR from 45 subjects and was aimed to encourage the development of new segmentation algorithms which could combine the complementary information from the three CMR sequences. Twenty-three … WebMyoPS 2024 Challenge. This repository provides source code for myocardial pathology segmentation. The method is detailed in the paper, and it won the 1st place of MyoPS 2024.Our code is adapted from PyMIC, a pytorch-based toolkit for medical image computing with deep learning, that is lightweight and easy to use, and nnUNet, a self-adaptive …
Recognition and Standardization of Cardiac MRI Orientation via …
WebJan 10, 2024 · This work defines a new task of medical image analysis, i.e., to perform myocardial pathology segmentation (MyoPS) combining three-sequence cardiac magnetic resonance (CMR) images, which was... WebOct 4, 2024 · Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images: First Challenge, MyoPS 2024, Held in Conjunction with MICCAI 2024, Lima, Peru, October 4, 2024, Proceedings. Oct 2024. 186 pages. ISBN: 978-3-030-65650-8. DOI: 10.1007/978-3-030-65651-5. Editors: photographs saved to this computer
Improving myocardial pathology segmentation with U-Net++ and ...
Oct 4, 2024 · WebWe evaluated our approach on the Multi-sequence CMR based Myocardial Pathology Segmentation Challenge 2024 (MyoPS 2024) dataset, and obtained the Dice 0.581 for the myocardial scars and the average Dice 0.725 for the myocardial edema and myocardial scars. References 1. WebOct 4, 2024 · Our method is evaluated on the Multi-sequence CMR based Myocardial Pathology Segmentation challenge (MyoPS 2024) dataset. On the test set, our fully-automatic approach achieved an average Dice score of 0.565 for scar and 0.664 for scar + edema. This is higher than the inter-observer variation of manual scar segmentation. photographs out of focus