Cargando…
Identifying Severity Grading of Knee Osteoarthritis from X-ray Images Using an Efficient Mixture of Deep Learning and Machine Learning Models
Recently, many diseases have negatively impacted people’s lifestyles. Among these, knee osteoarthritis (OA) has been regarded as the primary cause of activity restriction and impairment, particularly in older people. Therefore, quick, accurate, and low-cost computer-based tools for the early predict...
Autores principales: | Ahmed, Sozan Mohammed, Mstafa, Ramadhan J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777157/ https://www.ncbi.nlm.nih.gov/pubmed/36552945 http://dx.doi.org/10.3390/diagnostics12122939 |
Ejemplares similares
-
A Comprehensive Survey on Bone Segmentation Techniques in Knee Osteoarthritis Research: From Conventional Methods to Deep Learning
por: Ahmed, Sozan Mohammed, et al.
Publicado: (2022) -
Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
por: Hussein, Haval I., et al.
Publicado: (2023) -
An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images
por: Wang, Dingding, et al.
Publicado: (2020) -
Deep learning-assisted knee osteoarthritis automatic grading on plain radiographs: the value of multiview X-ray images and prior knowledge
por: Li, Wei, et al.
Publicado: (2023) -
Corelation Between X-Ray Grading Scale And USG Examination of Knee Joint Osteoarthritis
por: Supartono, Basuki, et al.
Publicado: (2020)