ImageCLEF 2020: Deep Learning for Tuberculosis in Chest CT Image Analysis based on multi-axis projections
暂无分享,去创建一个
[1] Henning Müller,et al. Efficient and fully automatic segmentation of the lungs in CT volumes , 2015, VISCERAL Challenge@ISBI.
[2] Henning Müller,et al. Overview of ImageCLEFtuberculosis 2020 Automatic CT-based Report Generation , 2020, CLEF.
[3] Quoc V. Le,et al. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.
[4] Michael Riegler,et al. Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation , 2018, CLEF.
[5] Minh-Triet Tran,et al. Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications , 2020, CLEF.
[6] Carlos R. del-Blanco,et al. ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature , 2019, CLEF.
[7] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Vijay Vasudevan,et al. Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[10] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.