Cargando…
Deep Learning Approaches for Prognosis of Automated Skin Disease
Skin problems are among the most common ailments on Earth. Despite its popularity, assessing it is not easy because of the complexities in skin tones, hair colors, and hairstyles. Skin disorders provide a significant public health risk across the globe. They become dangerous when they enter the inva...
Autores principales: | Kshirsagar, Pravin R., Manoharan, Hariprasath, Shitharth, S., Alshareef, Abdulrhman M., Albishry, Nabeel, Balachandran, Praveen Kumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951408/ https://www.ncbi.nlm.nih.gov/pubmed/35330177 http://dx.doi.org/10.3390/life12030426 |
Ejemplares similares
-
Exploration of Despair Eccentricities Based on Scale Metrics with Feature Sampling Using a Deep Learning Algorithm
por: Hasanin, Tawfiq, et al.
Publicado: (2022) -
Perception Exploration on Robustness Syndromes With Pre-processing Entities Using Machine Learning Algorithm
por: Kshirsagar, Pravin R., et al.
Publicado: (2022) -
An Attribute Extraction for Automated Malware Attack Classification and Detection Using Soft Computing Techniques
por: Albishry, Nabeel, et al.
Publicado: (2022) -
Mathematical Framework for Wearable Devices in the Internet of Things Using Deep Learning
por: Mirza, Olfat M., et al.
Publicado: (2022) -
Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization
por: Alterazi, Hassan A., et al.
Publicado: (2022)