Cargando…
A Deep Learning Approach for Segmentation of Red Blood Cell Images and Malaria Detection
Malaria is an endemic life-threating disease caused by the unicellular protozoan parasites of the genus Plasmodium. Confirming the presence of parasites early in all malaria cases ensures species-specific antimalarial treatment, reducing the mortality rate, and points to other illnesses in negative...
Autores principales: | Delgado-Ortet, Maria, Molina, Angel, Alférez, Santiago, Rodellar, José, Merino, Anna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517192/ https://www.ncbi.nlm.nih.gov/pubmed/33286429 http://dx.doi.org/10.3390/e22060657 |
Ejemplares similares
-
A Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection
por: Rodellar, José, et al.
Publicado: (2022) -
A dataset of microscopic peripheral blood cell images for development of automatic recognition systems
por: Acevedo, Andrea, et al.
Publicado: (2020) -
Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears
Publicado: (2020) -
Impact of Misclassification Rates on Compression Efficiency of Red Blood Cell Images of Malaria Infection Using Deep Learning
por: Dong, Yuhang, et al.
Publicado: (2019) -
Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images
por: Islam, Md. Robiul, et al.
Publicado: (2022)