Transfer Learning (TL)focuses on transferring knowledge from one (or more) problem/domain/task to another but associated one (Pan and Yang2009). Fine-tuning is a widely recognized example in contemporary deep learning: pre-train deep neural networks on enormous datasets, such as ImageNet (Deng ...
Disentangled representation and cross-modality image translation based unsupervised domain adaptation method for abdominal organ segmentation Article17 March 2022 References Shen, D., Wu, G., Suk, H.I.: Deep learning in medical image analysis. Ann. Rev. Biomed. Eng.19, 221–248 (2017) ...
However, the unique imaging characteristics and underlying physical principles governing image formation necessitate the development of separate segmentation methods for CT and MRI data. Thus, modality-based segmentation strategies are employed to meet the specific requirements of each imaging modality. ...