Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation
暂无分享,去创建一个
Kai Ma | Yefeng Zheng | Yuexiang Li | Jiawei Chen | Xinpeng Xie | Yefeng Zheng | Jiawei Chen | Kai Ma | Yuexiang Li | Xinpeng Xie
[1] Chi-Wing Fu,et al. Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation , 2019, MICCAI.
[2] Paolo Favaro,et al. Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles , 2016, ECCV.
[3] Thomas Walter,et al. Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map , 2019, IEEE Transactions on Medical Imaging.
[4] Holger Roth,et al. BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images , 2018, MICCAI.
[5] Nikos Komodakis,et al. Unsupervised Representation Learning by Predicting Image Rotations , 2018, ICLR.
[6] Pheng-Ann Heng,et al. CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation , 2019, IPMI.
[7] Ben Glocker,et al. Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation , 2017, MICCAI.
[8] Noel C. F. Codella,et al. Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) , 2019, ArXiv.
[9] Zoubin Ghahramani,et al. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , 2015, ICML.
[10] Sang Hyun Park,et al. Precise Separation of Adjacent Nuclei Using a Siamese Neural Network , 2019, MICCAI.
[11] Gregory Shakhnarovich,et al. Colorization as a Proxy Task for Visual Understanding , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Gadi Wollstein,et al. Uncertainty Guided Semi-supervised Segmentation of Retinal Layers in OCT Images , 2019, MICCAI.
[13] Marleen de Bruijne,et al. Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations , 2019, MICCAI.
[14] Charles Blundell,et al. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles , 2016, NIPS.
[15] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[17] Mauricio Reyes,et al. Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation , 2019, MICCAI.
[18] Ebrahim Nasr-Esfahani,et al. Dense Pooling layers in Fully Convolutional Network for Skin Lesion Segmentation , 2017 .
[19] Feng Yang,et al. A Multi-Stage Framework With Context Information Fusion Structure For Skin Lesion Segmentation , 2018, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).
[20] LinLin Shen,et al. Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network , 2017, Sensors.