Melanoma: epidemiology, risk factors, pathogenesis, diagnosis and classification.

By M. Rastrelli, S. Tropea, C. Rossi, M. Alaibac. In Vivo, 2014

670 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c5495bac67ad8a78cd2acb580f65c6fe21d478c4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Noel C. F. Codella
2. P. Tschandl
3. Allan Halpern
4. Brian Helba
5. V. Rotemberg
6. David Gutman
7. M. Combalia
8. S. Dusza

Citations in the corpus

• A patient-centric dataset of images and metadata for identifying melanomas using clinical context (2020, methodology): “ician. The third study, “Evaluation of the Efficacy of 3D Total-Body Photography With Sequential Digital Dermoscopy in a High-Risk Melanoma Cohort”, consisted of participants at high risk of melanoma [17], half of which underwent imaging intervention [18]. Lesions of interest to the participant or c”