Author:
Codella Noel C. F.,Lin Chung-Ching,Halpern Allan,Hind Michael,Feris Rogerio,Smith John R.
Publisher
Springer International Publishing
Reference15 articles.
1. Codella, N., et al.: Skin lesion analysis toward melanoma detection: a challenge at the international symposium on biomedical imaging (ISBI) 2017, hosted by the international skin imaging collaboration (ISIC). In: IEEE International Symposium of Biomedical Imaging (ISBI) (2018)
2. Marchetti, M., et al.: Results of the 2016 international skin imaging collaboration international symposium on biomedical imaging challenge: comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images. J. Am. Acad. Dermatol. 78(2), 270–277 (2018)
3. Codella, N.C.F., et al.: Deep learning ensembles for melanoma recognition in dermoscopy images. IBM J. Res. Dev. 61(4/5), 5:1–5:15 (2017)
4. Esteva, A., et al.: Dermatologist-level classification of skin cancer with deep neural networks. Nature 542, 115–118 (2017)
5. Menegola, A., Tavares, J., Fornaciali, M., Li, L.T., Avila, S., Valle, E.: RECOD titans at ISIC challenge 2017. In: 2017 International Symposium on Biomedical Imaging (ISBI) Challenge on Skin Lesion Analysis Towards Melanoma Detection. https://arxiv.org/pdf/1703.04819.pdf
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