Differentiating Malignant from Benign for Melanocytic and Non-melanocytic Skin Tumors : A Pilot Study on Hyperspectral Imaging and Convolutional Neural Networks
Main Authors
Format
Conferences
Conference output
Published
2022
Series
Subjects
Publication in research information system
Publisher
Society for Publication of Acta Dermato-Venereologica
Original source
https://medicaljournalssweden.se/actadv/issue/view/159
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202208124033Käytä tätä linkitykseen.
Review status
Non-peer reviewed
ISSN
0001-5555
Conference
Congress of Nordic Dermatology and Venereology
Language
English
Published in
Acta Dermato-Venereologica
Is part of publication
Abstracts from 35th Congress of Nordic Dermatology and Venereology
Citation
- Lindholm, V., Raita-Hakola, A.-M., Annala, L., Salmivuori, M., Jeskanen, L., Koskenmies, S., Pitkänen, S., Saari, H., Pölönen, I., Isoherranen, K., & Ranki, A. (2022). Differentiating Malignant from Benign for Melanocytic and Non-melanocytic Skin Tumors : A Pilot Study on Hyperspectral Imaging and Convolutional Neural Networks. In Abstracts from 35th Congress of Nordic Dermatology and Venereology (pp. 51). Society for Publication of Acta Dermato-Venereologica. Acta Dermato-Venereologica, Suppl 222. https://medicaljournalssweden.se/actadv/issue/view/159
License
Copyright© the Authors, 2022.