Human–computer collaboration for skin cancer recognition
- Philipp Tschandl
- Christoph Rinner
- et al.
- 2020
- Nature Medicine
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9 results for Allan Halpern
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
Classification of dermoscopy patterns using deep convolutional neural networks
- Sergey Demyanov
- Rajib Chakravorty
- et al.
- 2016
- ISBI 2016
The role of public challenges and data sets towards algorithm development, trust, and use in clinical practice
- Veronica Rotemberg
- Allan Halpern
- et al.
- 2019
- Semin. Cutaneous Med. Surg.
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.
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
Dermoscopy Image Analysis: Overview and Future Directions
- M. Emre Celebi
- Noel Codella
- et al.
- 2019
- IEEE J-BHI
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.
Deep learning ensembles for melanoma recognition in dermoscopy images
- Noel Codella
- Quoc Bao Nguyen
- et al.
- 2017
- IBM J. Res. Dev