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Automatic lesion segmentation in dermoscopy images is an essential step for computer-aided diagnosis of melanoma.
Kimball, A.B., Resneck, J.S.: The us dermatology workforce: a specialty remains in shortage. Journal of the American Academy of Dermatology 59
2008
Earlier work this paper cites.
Lee, C.Y., Xie, S., Gallagher, P., Zhang, Z., Tu, Z.: Deeply-supervised nets. In: Artificial Intelligence and Statistics. pp. 562–570 (2015)
2015
Earlier work this paper cites.
Rogers, H.W., Weinstock, M.A., Feldman, S.R., Coldiron, B.M.: Incidence estimate of nonmelanoma skin cancer (keratinocyte carcinomas) in the us population, 2012. JAMA dermatology 151
2015
Earlier work this paper cites.
Chen, H., Qi, X., Yu, L., Heng, P.A.: Dcan: Deep contour-aware networks for accurate gland segmentation. In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition. pp. 2487–2496 (2016)
2016
Earlier work this paper cites.
Cohen, T., Welling, M.: Group equivariant convolutional networks. In: International Conference on Machine Learning. pp. 2990–2999 (2016)
2016
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 770–778 (2016)
2016
Earlier work this paper cites.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
Marcos, D., Volpi, M., Komodakis, N., Tuia, D.: Rotation equivariant vector field networks. In: 2017 IEEE International Conference on Computer Vision (ICCV). pp. 5058–5067. IEEE (2017)
2017
Cited alongside, same era.
Yu, L., Chen, H., Dou, Q., Qin, J., Heng, P.A.: Automated melanoma recognition in dermoscopy images via very deep residual networks. IEEE transactions on medical imaging 36
2017
Later among the works it cites.
Yuan, Y., Lo, Y.C.: Improving dermoscopic image segmentation with enhanced convolutional-deconvolutional networks. IEEE Journal of Biomedical and Health Informatics (2017)
2017
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2018
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2018
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Paszke, A., Gross, S., Chintala, S., Chanan, G., Yang, E., DeVito, Z., Lin, Z., Desmaison, A., Antiga, L., Lerer, A.: Automatic differentiation in pytorch (2017)
2017
Cited alongside, same era.
Siegel, R.L., Miller, K.D., Jemal, A.: Cancer statistics, 2017. CA: A Cancer Journal for Clinicians 67
2017
Cited alongside, same era.
Winkens, J., Linmans, J., Veeling, B.S., Cohen, T.S., Welling, M.: Improved semantic segmentation for histopathology using rotation equivariant convolutional networks. Medical Imaging with Deep Learning pp. 330–341 (2018)
2018
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