Dec 29, 2023 · A collaborative learning method trained using sparse annotations can segment prostate and left atrium with high accuracy.
Dec 29, 2023 · Deep learning has presented great potential in accurate MR image segmentation when enough labeled data are provided for network optimization.
Dec 29, 2023 · Deep learning has presented great potential in accurate MR image segmentation when enough labeled data are provided for network optimization.
Editorial for "Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation". J Magn Reson Imaging. 2024 Jan 23. doi: 10.1002/jmri.29212 ...
Background Deep learning has presented great potential in accurate MR image segmentation when enough labeled data are provided for network optimization.
We aim to develop a new deep learning toolkit to support annotation-efficient learning for medical image segmentation, which can accelerate and simplify the ...
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation · Collaborative Learning for Annotation-Efficient Volumetric MR Image ...
Jun 7, 2024 · This research tackles the challenge of segmenting 3D MR images with limited labeling data (only one 2D slice per image).
Oct 8, 2021 · Here, we introduce Annotation-effIcient Deep lEarning (AIDE), an open-source framework to handle imperfect training datasets.
Missing: Volumetric | Show results with:Volumetric
Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation · no code implementations • 18 Dec 2023 • Yousuf Babiker M. Osman, Cheng Li ...