Cargando…
A patient-centric dataset of images and metadata for identifying melanomas using clinical context
Prior skin image datasets have not addressed patient-level information obtained from multiple skin lesions from the same patient. Though artificial intelligence classification algorithms have achieved expert-level performance in controlled studies examining single images, in practice dermatologists...
Autores principales: | Rotemberg, Veronica, Kurtansky, Nicholas, Betz-Stablein, Brigid, Caffery, Liam, Chousakos, Emmanouil, Codella, Noel, Combalia, Marc, Dusza, Stephen, Guitera, Pascale, Gutman, David, Halpern, Allan, Helba, Brian, Kittler, Harald, Kose, Kivanc, Langer, Steve, Lioprys, Konstantinos, Malvehy, Josep, Musthaq, Shenara, Nanda, Jabpani, Reiter, Ofer, Shih, George, Stratigos, Alexander, Tschandl, Philipp, Weber, Jochen, Soyer, H. Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843971/ https://www.ncbi.nlm.nih.gov/pubmed/33510154 http://dx.doi.org/10.1038/s41597-021-00815-z |
Ejemplares similares
-
Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context
por: Rotemberg, Veronica, et al.
Publicado: (2021) -
Publisher Correction: Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context
por: Rotemberg, Veronica, et al.
Publicado: (2021) -
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge
por: Combalia, Marc, et al.
Publicado: (2022) -
The long‐term evolution of melanocytic nevi among high‐risk adults
por: Reiter, O., et al.
Publicado: (2022) -
Suggested methodology for longitudinal evaluation of nevi based on clinical images
por: Reiter, Ofer, et al.
Publicado: (2021)