Cargando…
Ensemble of EfficientNets for the Diagnosis of Tuberculosis
Tuberculosis (TB) remains a life-threatening disease and is one of the leading causes of mortality in developing regions due to poverty and inadequate medical resources. Tuberculosis is medicable, but it necessitates early diagnosis through reliable screening techniques. Chest X-ray is a recommended...
Autores principales: | Oloko-Oba, Mustapha, Viriri, Serestina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691984/ https://www.ncbi.nlm.nih.gov/pubmed/34950203 http://dx.doi.org/10.1155/2021/9790894 |
Ejemplares similares
-
Exploration of Ear Biometrics Using EfficientNet
por: Booysens, Aimee, et al.
Publicado: (2022) -
Diagnosing Tuberculosis Using Deep Convolutional Neural Network
por: Oloko-Oba, Mustapha, et al.
Publicado: (2020) -
A Systematic Review of Deep Learning Techniques for Tuberculosis Detection From Chest Radiograph
por: Oloko-Oba, Mustapha, et al.
Publicado: (2022) -
Classification of Hematoxylin and Eosin-Stained Breast Cancer Histology Microscopy Images Using Transfer Learning with EfficientNets
por: Munien, Chanaleä, et al.
Publicado: (2021) -
An ensemble-based approach for automated medical diagnosis of malaria using EfficientNet
por: Marques, Gonçalo, et al.
Publicado: (2022)