Learning to Segment Medical Images from Few-Shot Sparse Labels
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Jefersson A. dos Santos | Pedro H. T. Gama | Hugo Oliveira | J. A. D. Santos | H. Oliveira | P. H. T. Gama
[1] Nima Tajbakhsh,et al. Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation , 2019, Medical Image Anal..
[2] Alexei A. Efros,et al. Few-Shot Segmentation Propagation with Guided Networks , 2018, ArXiv.
[3] Shohreh Kasaei,et al. Automatic segmentation of mandible in panoramic x-ray , 2015, Journal of medical imaging.
[4] Neeraj Sharma,et al. Automated medical image segmentation techniques , 2010, Journal of medical physics.
[5] Jefersson Alex dos Santos,et al. From 3D to 2D: Transferring knowledge for rib segmentation in chest X-rays , 2020, Pattern Recognit. Lett..
[6] Luciano Oliveira,et al. Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives , 2018, Expert Syst. Appl..
[7] Joshua B. Tenenbaum,et al. Human-level concept learning through probabilistic program induction , 2015, Science.
[8] Byron Boots,et al. One-Shot Learning for Semantic Segmentation , 2017, BMVC.
[9] Jiashi Feng,et al. PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Gang Yu,et al. Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation , 2019, AAAI.
[11] Ronald M. Summers,et al. ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases , 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.
[12] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[13] Sébastien Ourselin,et al. Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning , 2017, IEEE Transactions on Medical Imaging.
[14] Stefan Jaeger,et al. Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. , 2014, Quantitative imaging in medicine and surgery.
[15] K. Doi,et al. Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules. , 2000, AJR. American journal of roentgenology.
[16] Yi Yang,et al. SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation , 2018, IEEE Transactions on Cybernetics.
[17] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[18] Richard S. Zemel,et al. Prototypical Networks for Few-shot Learning , 2017, NIPS.
[19] Abhinav Gupta,et al. Scaling and Benchmarking Self-Supervised Visual Representation Learning , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[20] Ian W. Ricketts,et al. The Mammographic Image Analysis Society digital mammogram database , 1994 .
[21] Yuxing Tang,et al. XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation , 2018, MIDL.
[22] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[23] Sergey Levine,et al. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , 2017, ICML.
[24] Eric P. Xing,et al. Few-Shot Semantic Segmentation with Prototype Learning , 2018, BMVC.
[25] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.