Cargando…
Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning
Cancer is considered one of the most aggressive and destructive diseases that shortens the average lives of patients. Misdiagnosed brain tumours lead to false medical intervention, which reduces patients' chance of survival. Accurate early medical diagnoses of brain tumour are an essential poin...
Autores principales: | Senan, Ebrahim Mohammed, Jadhav, Mukti E., Rassem, Taha H., Aljaloud, Abdulaziz Salamah, Mohammed, Badiea Abdulkarem, Al-Mekhlafi, Zeyad Ghaleb |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9132638/ https://www.ncbi.nlm.nih.gov/pubmed/35633922 http://dx.doi.org/10.1155/2022/8330833 |
Ejemplares similares
-
Efficient Authentication Scheme for 5G-Enabled Vehicular Networks Using Fog Computing
por: Al-Mekhlafi, Zeyad Ghaleb, et al.
Publicado: (2023) -
Integrated Approach to Achieve a Sustainable Organic Waste Management System in Saudi Arabia
por: Abdullah, Nibras, et al.
Publicado: (2022) -
IoT-Based Waste Management System in Formal and Informal Public Areas in Mecca
por: Abdullah, Nibras, et al.
Publicado: (2022) -
CM-CPPA: Chaotic Map-Based Conditional Privacy-Preserving Authentication Scheme in 5G-Enabled Vehicular Networks
por: Al-Shareeda, Mahmood A., et al.
Publicado: (2022) -
Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms
por: Senan, Ebrahim Mohammed, et al.
Publicado: (2021)