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Universal lesion detection (ULD) on computed tomography (CT) images is an important but underdeveloped problem.
Dai, Jifeng, Yi Li, Kaiming He, and Jian Sun. ”R-fcn: Object detection via region-based fully convolutional networks.” In NIPS, pp. 379-387. 2016
2016
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He, Kaiming, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. ”Mask r-cnn.” In ICCV, pp. 2961-2969. 2017
2017
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Lin, Tsung-Yi, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie. ”Feature pyramid networks for object detection.” In ICCV, pp. 2117-2125. 2017
2017
Earlier work this paper cites.
Wang, Bin, Guojun Qi, Sheng Tang, Liheng Zhang, Lixi Deng, and Yongdong Zhang. ”Automated pulmonary nodule detection: High sensitivity with few candidates.” In MICCAI, pp. 759-767. 2018
2018
Earlier work this paper cites.
Lee, Sang-gil, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, and Sungroh Yoon. ”Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector.” In MICCAI, pp. 693-701. 2018
2018
Cited alongside, same era.
Yan, Ke, Mohammadhadi Bagheri, and Ronald M. Summers. ”3d context enhanced region-based convolutional neural network for end-to-end lesion detection.” In MICCAI, pp. 511-519. 2018
2018
Cited alongside, same era.
Yan, Ke, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, and Ronald M. Summers. ”Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database.” In CVPR, pp. 9261-9270. 2018
2018
Cited alongside, same era.
Yan, Ke, Le Lu, and Ronald M. Summers. ”Unsupervised body part regression via spatially self-ordering convolutional neural networks.” In ISBI, pp. 1022-1025. 2018
2018
Later among the works it cites.
Woo, Sanghyun, Jongchan Park, Joon-Young Lee, and In So Kweon. ”Cbam: Convolutional block attention module.” In ECCV, pp. 3-19. 2018
2018
Later among the works it cites.
2019
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