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Self-Attention Capsule Networks for Image Classification.

, , , и . CoRR, (2019)

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Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions., , , , и . J. Digit. Imaging, 30 (4): 449-459 (2017)Deep Active Lesion Segmentation., , , , , , и . MLMI@MICCAI, том 11861 из Lecture Notes in Computer Science, стр. 98-105. Springer, (2019)Self-Attention Capsule Networks for Image Classification., , , и . CoRR, (2019)Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions., , , , , , , и . IEEE J. Biomed. Health Informatics, 20 (6): 1585-1594 (2016)Weighted locality-constrained linear coding for lesion classification in CT images., , , , и . EMBC, стр. 6362-6365. IEEE, (2015)TVAE: Triplet-Based Variational Autoencoder using Metric Learning, , и . (2018)cite arxiv:1802.04403Comment: Submitted to ICLR 2018 Workshop track.From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI., , , , , и . NeurIPS, стр. 6514-6524. (2019)Self-attention Capsule Network for Tissue Classification in Case of Challenging Medical Image Statistics., , , и . ECCV Workshops (3), том 13803 из Lecture Notes in Computer Science, стр. 219-235. Springer, (2022)Evaluation of a 3D technique for quantifying neovascularization within plaques imaged by contrast enhanced ultrasound., , и . EMBC, стр. 1124-1127. IEEE, (2013)