SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis

Z Xu, J Rittscher, S Ali - IEEE Transactions on Medical Imaging, 2024 - ieeexplore.ieee.org
Data-driven methods have shown tremendous progress in medical image analysis. In this
context, deep learning-based supervised methods are widely popular. However, they …
被引用次数：4 相关文章

SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis

Z Xu, J Rittscher, S Ali - IEEE transactions on medical imaging - pubmed.ncbi.nlm.nih.gov
Data-driven methods have shown tremendous progress in medical image analysis. In this
context, deep learning-based supervised methods are widely popular. However, they …

SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis

Z Xu, J Rittscher, S Ali - IEEE Transactions on Medical …, 2024 - eprints.whiterose.ac.uk
Data-driven methods have shown tremendous progress in medical image analysis. In this
context, deep learning-based supervised methods are widely popular. However, they …

SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis

Z Xu, J Rittscher, S Ali - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Data-driven methods have shown tremendous progress in medical image analysis. In this
context, deep learning-based supervised methods are widely popular. However, they …

SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis

Z Xu, J Rittscher, S Ali - arXiv preprint arXiv:2306.00197, 2023 - arxiv.org
Data-driven methods have shown tremendous progress in medical image analysis. In this
context, deep learning-based supervised methods are widely popular. However, they …