Table 1. Selected papers using deep learning for melanoma detection in the period 2015–2017.
| Paper | Year | Framework | Dataset | Size | Imagetype |
|---|---|---|---|---|---|
| Codella et al. (2015) | 2015 | Caffe | ISIC | 2,024 | Dermoscopy |
| Kawahara, BenTaieb & Hamarneh (2016) | 2016 | Caffe | Dermofit Image Library | 1,300 | Digital |
| Kawahara & Hamarneh (2016) | 2016 | Caffe | Dermofit Image Library | 1,300 | Digital |
| Premaladh & Ravichandran (2016) | 2016 | NA | images collected from various repositories | 992 | Dermoscopy, digital |
| Jafari et al. (2016b) | 2016 | MATLAB and Caffe | Dermquest | 126 | Digital |
| Nasr-Esfahani et al. (2016) | 2016 | NA | MED-NODE | 170 | Digital |
| Sabbaghi, Aldeen & Garnavi (2016) | 2016 | NA | The National Institutes of Health, USA | 814 | Dermoscopy |
| Pomponiu, Nejati & Cheung (2016) | 2016 | Caffe | DermIS, Dermquest | 399 (enlarged to 10K) | Digital |
| Majtner, Yildirim-Yayilgan & Yngve Hardeberg (2016) | 2016 | MatConvNet | ISIC | 2,624 | Dermoscopy |
| Yu et al. (2017a) | 2016 | Caffe | ISIC | 2,624 | Dermoscopy |
| Codella et al. (2017b) | 2017 | Theano, Lasange, Nolearn, Caffe | ISIC | 2,624 | Dermoscopy |
| Codella et al. (2017b) | 2017 | Tensorflow | ISIC, Dermofit Image Library, Stanford Medical Center | 129,450 | Dermoscopy, digital |
| Attia et al. (2017) | 2017 | NA | ISIC | 2,624 | Dermoscopy |