Adversarial learning with multi-scale loss for skin lesion segmentation
暂无分享,去创建一个
Tao Xu | Yuan Xue | Xiaolei Huang | Xiaolei Huang | Tao Xu | Yuan Xue
[1] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[2] Léon Bottou,et al. Towards Principled Methods for Training Generative Adversarial Networks , 2017, ICLR.
[3] Matt Berseth,et al. ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection , 2017, ArXiv.
[4] 한보형,et al. Learning Deconvolution Network for Semantic Segmentation , 2015 .
[5] Guosheng Lin,et al. Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[7] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[9] Dimitris N. Metaxas,et al. StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[10] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[11] Noel C. F. Codella,et al. Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC) , 2016, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).
[12] Xiangyu Zhang,et al. Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Yading Yuan,et al. Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks , 2017, IEEE Journal of Biomedical and Health Informatics.
[14] David Dagan Feng,et al. Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks , 2017, ArXiv.
[15] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[16] Camille Couprie,et al. Semantic Segmentation using Adversarial Networks , 2016, NIPS 2016.
[17] Anton van den Hengel,et al. Wider or Deeper: Revisiting the ResNet Model for Visual Recognition , 2016, Pattern Recognit..
[18] Tao Xu,et al. SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation , 2017, Neuroinformatics.
[19] Sebastian Thrun,et al. Dermatologist-level classification of skin cancer with deep neural networks , 2017, Nature.