A Spitzoid Tumor dataset with clinical metadata and Whole Slide Images for Deep Learning models
Abstract Spitzoid tumors (ST) are a group of melanocytic tumors of high diagnostic complexity. Since 1948, when Sophie Spitz first described them, the diagnostic uncertainty remains until now, especially in the intermediate category known as Spitz tumor of unknown malignant potential (STUMP) or atyp...
Main Authors: | Andrés Mosquera-Zamudio, Laëtitia Launet, Rocío del Amor, Anaïs Moscardó, Adrián Colomer, Valery Naranjo, Carlos Monteagudo |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
|
Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-023-02585-2 |
Similar Items
-
Deep Learning for Skin Melanocytic Tumors in Whole-Slide Images: A Systematic Review
by: Andrés Mosquera-Zamudio, et al.
Published: (2022-12-01) -
Federating Medical Deep Learning Models from Private Jupyter Notebooks to Distributed Institutions
by: Laëtitia Launet, et al.
Published: (2023-01-01) -
Time to reconsider Spitzoid neoplasms?
by: Carmelo Urso
Published: (2016-04-01) -
Paediatric atypical spitzoid melanocytic neoplasm
by: Aileen F. Egan, et al.
Published: (2017-12-01) -
Hypopigmented atypical Spitzoid neoplasms (atypical Spitz nevi, atypical Spitz tumors, Spitzoid melanoma): a clinicopathological update
by: Gerardo Ferrara, et al.
Published: (2015-01-01)