Cargando…
BoostNet: a method to enhance the performance of deep learning model on musculoskeletal radiographs X-ray images
In clinical treatment, deep learning plays a pivotal role in medical image classification. Deep learning techniques provide opportunities for radiologists and orthopedic to ease out their lives with faster and more accurate results. The traditional deep learning approach nevertheless reached its per...
Autores principales: | Mall, Pawan Kumar, Singh, Pradeep Kumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750368/ http://dx.doi.org/10.1007/s13198-021-01580-3 |
Ejemplares similares
-
MTR-SDL: a soft computing based multi-tier rank model for shoulder X-ray classification
por: Mall, Pawan Kumar, et al.
Publicado: (2023) -
Hybrid Deep Learning Approach for Automatic Detection in Musculoskeletal Radiographs
por: Singh, Gurpreet, et al.
Publicado: (2022) -
CoVSeverity-Net: an efficient deep learning model for COVID-19 severity estimation from Chest X-Ray images
por: Deb, Sagar Deep, et al.
Publicado: (2023) -
Deep Learning Classification of Tuberculosis Chest X-rays
por: Goswami, Kartik K, et al.
Publicado: (2023) -
Deep Learning Approach for Analyzing the COVID-19 Chest X-Rays
por: Manav, Mohini, et al.
Publicado: (2021)