Cargando…
An adaptive and altruistic PSO-based deep feature selection method for Pneumonia detection from Chest X-rays
Pneumonia is one of the major reasons for child mortality especially in income-deprived regions of the world. Although it can be detected and treated with very less sophisticated instruments and medication, Pneumonia detection still remains a major concern in developing countries. Computer-aided bas...
Autores principales: | Pramanik, Rishav, Sarkar, Sourodip, Sarkar, Ram |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364947/ https://www.ncbi.nlm.nih.gov/pubmed/35966452 http://dx.doi.org/10.1016/j.asoc.2022.109464 |
Ejemplares similares
-
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
por: Pramanik, Rishav, et al.
Publicado: (2022) -
Pneumonia detection in chest X-ray images using an ensemble of deep learning models
por: Kundu, Rohit, et al.
Publicado: (2021) -
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost
por: Dias Júnior, Domingos Alves, et al.
Publicado: (2021) -
A two-tier feature selection method using Coalition game and Nystrom sampling for screening COVID-19 from chest X-Ray images
por: Bhowal, Pratik, et al.
Publicado: (2021) -
DBU-Net: Dual branch U-Net for tumor segmentation in breast ultrasound images
por: Pramanik, Payel, et al.
Publicado: (2023)