Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning
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Ronald M. Summers | Elena Sizikova | Huy V. Vo | Tianshu Chu | Xinmeng Li | R. Summers | Tianshu Chu | E. Sizikova | Xinmeng Li
[1] Su Ruan,et al. Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation , 2020, Computers in Biology and Medicine.
[2] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[3] Wonhee Lee,et al. Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Youbao Tang,et al. Weakly Supervised Lesion Co-Segmentation on Ct Scans , 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).
[5] Youbao Tang,et al. Weakly-supervised lesion segmentation on CT scans using co-segmentation , 2020, Medical Imaging.
[6] Allan Hanbury,et al. Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool , 2015, BMC Medical Imaging.
[7] Khaled Alsaih,et al. Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI , 2020, Sensors.
[8] Yu Zhang,et al. A Survey on Multi-Task Learning , 2017, IEEE Transactions on Knowledge and Data Engineering.
[9] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[10] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[11] Le Lu,et al. DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning , 2018, Journal of medical imaging.
[12] Yuan Gao,et al. Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images , 2020, IEEE Access.
[13] Hao Chen,et al. The Liver Tumor Segmentation Benchmark (LiTS) , 2019, Medical Image Anal..
[14] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[15] Yassine Ruichek,et al. Survey on semantic segmentation using deep learning techniques , 2019, Neurocomputing.
[16] Chaoqun Wang,et al. Pattern-Structure Diffusion for Multi-Task Learning , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Jitendra Malik,et al. Which Tasks Should Be Learned Together in Multi-task Learning? , 2019, ICML.
[18] Brian Kingsbury,et al. New types of deep neural network learning for speech recognition and related applications: an overview , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[19] Nicolas Thome,et al. Multitask Classification and Segmentation for Cancer Diagnosis in Mammography , 2019, 1909.05397.
[20] K. Brock,et al. Automated Contouring of Contrast and Noncontrast Computed Tomography Liver Images With Fully Convolutional Networks , 2020, Advances in radiation oncology.
[21] Kerstin Voigt,et al. Stock Index Prediction with Multi-task Learning and Word Polarity Over Time , 2020, ArXiv.
[22] Yu Liu,et al. A review of semantic segmentation using deep neural networks , 2017, International Journal of Multimedia Information Retrieval.
[23] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Dong Yang,et al. Going to Extremes: Weakly Supervised Medical Image Segmentation , 2020, Mach. Learn. Knowl. Extr..
[25] Youbao Tang,et al. Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST , 2018, MICCAI.
[26] Konstantinos Kamnitsas,et al. DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks , 2016, IEEE Transactions on Medical Imaging.
[27] Chunhua Shen,et al. A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification , 2020, IEEE Transactions on Medical Imaging.
[28] Yi Su,et al. A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification , 2017, ArXiv.
[29] Xiaodong Liu,et al. Multi-Task Deep Neural Networks for Natural Language Understanding , 2019, ACL.
[30] Nima Tajbakhsh,et al. Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation , 2019, Medical Image Anal..
[31] Harald Kittler,et al. Descriptor : The HAM 10000 dataset , a large collection of multi-source dermatoscopic images of common pigmented skin lesions , 2018 .
[32] Matthijs Douze,et al. Deep Clustering for Unsupervised Learning of Visual Features , 2018, ECCV.
[33] L. Schwartz,et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). , 2009, European journal of cancer.