Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams

arXiv:1901.04056

Original

P. Bilic, P. F. Christ, E. Vorontsov, G. Chlebus, H. Chen, Q. Dou, C. Fu, X. Han, P. Heng, J. Hesser, S. Kadoury, T. K. Konopczynski, M. Le, C. Li, X. Li, J. Lipková, J. S. Lowengrub, H. Meine, J. H. Moltz, C. Pal, M. Piraud, X. Qi, J. Qi, M. Rempfler, K. Roth, A. Schenk, A. Sekuboyina, P. Zhou, C. Hülsemeyer, M. Beetz, F. Ettlinger, F. Grün, G. Kaissis, F. Lohöfer, R. Braren, J. Holch, F. Hofmann, W. H. Sommer, V. Heinemann, C. Jacobs, G. E. H. Mamani, B. van Ginneken, G. Chartrand, A. Tang, M. Drozdzal, A. Ben-Cohen, E. Klang, M. M. Amitai, E. Konen, H. Greenspan, J. Moreau, A. Hostettler, L. Soler, R. Vivanti, A. Szeskin, N. Lev-Cohain, J. Sosna, L. Joskowicz, B. H. Menze, The liver tumor segmentation benchmark (lits) , CoRR abs/1901.04056 (2019) · 1901

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arXiv:1906.04962

Original

C. Han, Y. Kitamura, A. Kudo, A. Ichinose, L. Rundo, Y. Furukawa, K. Umemoto, H. Nakayama, Y. Li, Synthesizing diverse lung nodules wherever massively: 3d multi-conditional gan-based CT image augmentation for object detection , CoRR abs/1906.04962 (2019) · 1906

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O. Ronneberger, P. Fischer, T. Brox, U-net: Convolutional networks for biomedical image segmentation, in: N. Navab, J. Hornegger, W. M. Wells, A. F. Frangi (Eds.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Springer International Publishing, Cham, 2015, pp. 234–241

2015

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P. Isola, J. Zhu, T. Zhou, A. A. Efros, Image-to-image translation with conditional adversarial networks, in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp. 5967–5976

2017

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H. Zhao, J. Shi, X. Qi, X. Wang, J. Jia, Pyramid scene parsing network, in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp. 6230–6239

2017

Cited alongside, same era.

C. Baur, S. Albarqouni, N. Navab, Generating highly realistic images of skin lesions with gans, in: OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis, Springer International Publishing, Cham, 2018, pp. 260–267

2018

Cited alongside, same era.

X. Yi, E. Walia, P. Babyn, Generative adversarial network in medical imaging: A review, Medical Image Analysis 58 (2019) 101552

2019

Cited alongside, same era.

T. Park, M. Liu, T. Wang, J. Zhu, Semantic image synthesis with spatially-adaptive normalization, in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 2332–2341

2019

Later among the works it cites.

doi:10.1007/s10462-018-9641-3

X. Liu, Z. Deng, Y. Yang, Recent progress in semantic image segmentation, Artificial Intelligence Review 52 (2) (2019) 1089–1106 · 2019

Later among the works it cites.

K. Armanious, C. Jiang, M. Fischer, T. Koestner, T. Hepp, K. Nikolaou, S. Gatidis, B. Yang, Medgan: Medical image translation using gans, Computerized Medical Imaging and Graphics 79 (2020) 101684

2020

Closest in time.