Cargando…
Hybrid SFNet Model for Bone Fracture Detection and Classification Using ML/DL
An expert performs bone fracture diagnosis using an X-ray image manually, which is a time-consuming process. The development of machine learning (ML), as well as deep learning (DL), has set a new path in medical image diagnosis. In this study, we proposed a novel multi-scale feature fusion of a conv...
Autores principales: | Yadav, Dhirendra Prasad, Sharma, Ashish, Athithan, Senthil, Bhola, Abhishek, Sharma, Bhisham, Dhaou, Imed Ben |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371081/ https://www.ncbi.nlm.nih.gov/pubmed/35957380 http://dx.doi.org/10.3390/s22155823 |
Ejemplares similares
-
Bone Cancer Detection Using Feature Extraction Based Machine Learning Model
por: Sharma, Ashish, et al.
Publicado: (2021) -
Game Theory-Based Authentication Framework to Secure Internet of Vehicles with Blockchain
por: Gupta, Manik, et al.
Publicado: (2022) -
Emerging Sensor Communication Network-Based AI/ML Driven Intelligent IoT
por: Sharma, Bhisham, et al.
Publicado: (2023) -
Energy Aware Load Balancing Framework for Smart Grid Using Cloud and Fog Computing
por: Singhal, Saurabh, et al.
Publicado: (2023) -
Identification, 3D-Reconstruction, and Classification of Dangerous Road Cracks
por: Sghaier, Souhir, et al.
Publicado: (2023)