Cargando…
Computer-Aided Detection and Classification of Monkeypox and Chickenpox Lesion in Human Subjects Using Deep Learning Framework
Monkeypox is a zoonotic viral disease caused by the monkeypox virus. After its recent outbreak, it has become clear that a rapid, accurate, and reliable diagnosis may help reduce the risk of a future outbreak. The presence of skin lesions is one of the most prominent symptoms of the disease. However...
Autores principales: | Uzun Ozsahin, Dilber, Mustapha, Mubarak Taiwo, Uzun, Berna, Duwa, Basil, Ozsahin, Ilker |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858137/ https://www.ncbi.nlm.nih.gov/pubmed/36673101 http://dx.doi.org/10.3390/diagnostics13020292 |
Ejemplares similares
-
Evaluating the Performance of Deep Learning Frameworks for Malaria Parasite Detection Using Microscopic Images of Peripheral Blood Smears
por: Uzun Ozsahin, Dilber, et al.
Publicado: (2022) -
Breast Cancer Screening Based on Supervised Learning and Multi-Criteria Decision-Making
por: Mustapha, Mubarak Taiwo, et al.
Publicado: (2022) -
Mathematical Assessment of Machine Learning Models Used for Brain Tumor Diagnosis
por: Uzun Ozsahin, Dilber, et al.
Publicado: (2023) -
Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence
por: Ozsahin, Ilker, et al.
Publicado: (2020) -
A Multi-Criteria Decision Aid Tool for Radiopharmaceutical Selection in Tau PET Imaging
por: Ozsahin, Ilker, et al.
Publicado: (2023)