Cargando…
Deep Learning Classifier with Patient’s Metadata of Dermoscopic Images in Malignant Melanoma Detection
BACKGROUND: Incidence of skin cancer is one of the global burdens of malignancies that increase each year, with melanoma being the deadliest one. Imaging-based automated skin cancer detection still remains challenging owing to variability in the skin lesions and limited standard dataset availability...
Autores principales: | Ningrum, Dina Nur Anggraini, Yuan, Sheng-Po, Kung, Woon-Man, Wu, Chieh-Chen, Tzeng, I-Shiang, Huang, Chu-Ya, Li, Jack Yu-Chuan, Wang, Yao-Chin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071207/ https://www.ncbi.nlm.nih.gov/pubmed/33907414 http://dx.doi.org/10.2147/JMDH.S306284 |
Ejemplares similares
-
A Deep Learning Model to Predict Knee Osteoarthritis Based on Nonimage Longitudinal Medical Record
por: Ningrum, Dina Nur Anggraini, et al.
Publicado: (2021) -
Challenges and Perspectives of Neurological Disorders
por: Ningrum, Dina Nur Anggraini, et al.
Publicado: (2023) -
Classifying dermoscopic patterns of naevi in a case-control study of melanoma
por: McWhirter, Seamus R., et al.
Publicado: (2017) -
Classifying the precancers: A metadata approach
por: Berman, Jules J, et al.
Publicado: (2003) -
Social Media Data Analytics for Outbreak Risk Communication: Public Attention on the “New Normal” During the COVID-19 Pandemic in Indonesia
por: Rahmanti, Annisa Ristya, et al.
Publicado: (2021)