Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017
- Michael A. Marchetti
- Konstantinos Liopyris
- et al.
- 2020
- J. Am. Acad. Dermatol.
Publications
4 results for Michael A. Marchetti
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
- Philipp Tschandl
- Noel Codella
- et al.
- 2019
- The Lancet Oncology
Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)
- Noel Codella
- David A. Gutman
- et al.
- 2018
- ISBI 2018
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
- Michael A. Marchetti
- Noel C.F. Codella
- et al.
- 2018
- J. Am. Acad. Dermatol.