Cross-Stained Segmentation from Renal Biopsy Images Using Multi-Level Adversarial Learning
暂无分享,去创建一个
Jun Liu | Lei Jiang | Chuang Zhu | Yuanyuan Qiao | Ke Mei | Chuang Zhu | Lei Jiang | Jun Liu | Yuanyuan Qiao | Ke Mei
[1] Xu Wang,et al. Generalizing Deep Models for Ultrasound Image Segmentation , 2018, MICCAI.
[2] Hao Chen,et al. Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss , 2018, IJCAI.
[3] P. Zucchelli,et al. [IgA nephropathy]. , 1985, Medicina clinica.
[4] J. S. Marron,et al. A method for normalizing histology slides for quantitative analysis , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[5] Ghassan Hamarneh,et al. Adversarial Stain Transfer for Histopathology Image Analysis , 2018, IEEE Transactions on Medical Imaging.
[6] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[8] Konstantinos Kamnitsas,et al. Unsupervised domain adaptation in brain lesion segmentation with adversarial networks , 2016, IPMI.
[9] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[10] Jaime S. Cardoso,et al. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support , 2017, Lecture Notes in Computer Science.
[11] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[12] S. Dwivedi,et al. Obesity May Be Bad: Compressed Convolutional Networks for Biomedical Image Segmentation , 2020 .