Cargando…
Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors
Tuberculosis (TB) remains one of the major health problems in modern times with a high mortality rate. While efforts are being made to make early diagnosis accessible and more reliable in high burden TB countries, digital chest radiography has become a popular source for this purpose. However, the s...
Autores principales: | Ayaz, Muhammad, Shaukat, Furqan, Raja, Gulistan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812355/ https://www.ncbi.nlm.nih.gov/pubmed/33459996 http://dx.doi.org/10.1007/s13246-020-00966-0 |
Ejemplares similares
-
Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography
por: Devnath, Liton, et al.
Publicado: (2022) -
Ensemble Technique Coupled with Deep Transfer Learning Framework for Automatic Detection of Tuberculosis from Chest X-ray Radiographs
por: Kotei, Evans, et al.
Publicado: (2022) -
Routine Postoperative Chest X-Ray Following Laparoscopic Nephrectomy
por: Simon, Scott D., et al.
Publicado: (2005) -
Automatic detection of pneumonia in chest X-ray images using textural features
por: Ortiz-Toro, César, et al.
Publicado: (2022) -
Deep learning-based automatic detection of tuberculosis disease in chest X-ray images
por: Showkatian, Eman, et al.
Publicado: (2022)