Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database-Reference-Cited by-同舟云学术

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

Published:2019 Issue: Volume: Page:413-435
ISSN:2191-6586
Container-title:Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
language:
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Author:

Yan Ke,Wang Xiaosong,Lu Le,Zhang Ling,Harrison Adam P.,Bagheri Mohammadhadi,Summers Ronald M.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-13969-8_20

Reference56 articles.

1. Belkin M, Niyogi P, Sindhwani V (2006) Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J Mach Learn Res 7:2399–2434

2. Bellet A, Habrard A, Sebban M (2013) A survey on metric learning for feature vectors and structured data. arXiv:1306.6709

3. Bromley J, Guyon I, LeCun Y, Säckinger E, Shah R (1994) Signature verification using a “Siamese” time delay neural network. In: Advances in neural information processing systems, pp 737–744

4. Cai J, Tang Y, Lu L, Harrison AP, Yan K, Xiao J, Yang L, Summers RM (2018) Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: slice-propagated 3D mask generation from 2D RECIST. In: MICCAI. http://arxiv.org/abs/1801.08614

5. Chen W, Chen X, Zhang J, Huang K (2017) Beyond triplet loss: a deep quadruplet network for person re-identification. In: CVPR. https://arxiv.org/abs/1704.01719

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