Dec 5, 2022 · SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation. Abstract: Collaborative learning methods for medical image ...
Feb 6, 2023 · In this paper, we propose a novel structured collaborative learning (SCL), which can be seen as an ensemble learning for strong classifiers. It ...
Collaborative learning methods for medical image segmentation are often variants of UNet, where the constructions of classifiers depend on each other and ...
... PET/CT images based tumor segmentation. Comput. Medical Imaging Graph ... SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation.
Jan 2, 2024 · SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation. ... Collaborative Learning for PET/CT Based Tumor Segmentation ...
Mar 30, 2023 · SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation. Wang, Meng; Jiang, Huiyan; SHI, TIANYU; Yao, Yu-Dong. PFDNet ...
PET/CT image based automatic lymphoma segmentation is increasingly used in the clinical community. U-Net-like deep learning methods have been widely used for ...
Generalizable and trustworthy deep learning models for PET/CT image segmentation necessitates large diverse multi-institutional datasets. However, legal, ...
Missing: SCL- | Show results with:SCL-
Jan 23, 2024 · SCL-net: Structured collaborative learning for PET/CT based tumor segmentation. IEEE J Biomed Health Inform 2022; 27: 1048-1059. https://doi.org ...
