# Human–computer collaboration for skin cancer recognition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/human-computer-collaboration-for-skin-cancer-recognition/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Philipp Tschandl,Claus Rinner,Zoé Apalla,Giuseppe Argenziano,Noel Codella,Allan C. Halpern,Monika Janda,Aimilios Lallas,Caterina Longo,Josep Malvehy,John Paoli,Susana Puig,Cliff Rosendahl,H. Peter Soyer,Iris Zalaudek,Harald Kittler |
| Citations | 948 |
| DOI | 10.1038/s41591-020-0942-0 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | http://hdl.handle.net/11368/2968193 |
| OpenAlex ID | https://openalex.org/W3036298167 |
| PMID | 32572267 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Giuseppe Argenziano](https://scholariq.org/researchers/giuseppe-argenziano/)

## Paper journal

- [Nature Medicine](https://scholariq.org/journals/nature-medicine/)

## Paper primary topic

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)

## Paper topics

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.