FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis
J Wang, G ** macaque brain MR images
In neuroscience research, automatic segmentation of macaque brain tissues in magnetic
resonance imaging (MRI) is crucial for understanding brain structure and function during …
resonance imaging (MRI) is crucial for understanding brain structure and function during …
A bidirectional multilayer contrastive adaptation network with anatomical structure preservation for unpaired cross-modality medical image segmentation
H Liu, Y Zhuang, E Song, X Xu, CC Hung - Computers in Biology and …, 2022 - Elsevier
Multi-modal medical image segmentation has achieved great success through supervised
deep learning networks. However, because of domain shift and limited annotation …
deep learning networks. However, because of domain shift and limited annotation …
Single slice thigh CT muscle group segmentation with domain adaptation and self-training
Purpose Thigh muscle group segmentation is important for assessing muscle anatomy,
metabolic disease, and aging. Many efforts have been put into quantifying muscle tissues …
metabolic disease, and aging. Many efforts have been put into quantifying muscle tissues …
[HTML][HTML] Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
MA de Boisredon d'Assier, A Portafaix… - Medical Image …, 2024 - Elsevier
Deep neural networks are commonly used for automated medical image segmentation, but
models will frequently struggle to generalize well across different imaging modalities. This …
models will frequently struggle to generalize well across different imaging modalities. This …