Cargando…
Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review
There has been an explosive growth in research over the last decade exploring machine learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary abnormalities. In particular, we have observed a strong interest in screening for tuberculosis (TB). This interest has coinci...
Autores principales: | Santosh, KC, Allu, Siva, Rajaraman, Sivaramakrishnan, Antani, Sameer |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568934/ https://www.ncbi.nlm.nih.gov/pubmed/36241922 http://dx.doi.org/10.1007/s10916-022-01870-8 |
Ejemplares similares
-
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
por: Hammoudi, Karim, et al.
Publicado: (2021) -
Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2020) -
Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detection
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2020) -
Automatic Lung Health Screening Using Respiratory Sounds
por: Mukherjee, Himadri, et al.
Publicado: (2021) -
Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2021)