Cargando…
Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data
The biopsy is a gold standard method for tumor grading. However, due to its invasive nature, it has sometimes proved fatal for brain tumor patients. As a result, a non-invasive computer-aided diagnosis (CAD) tool is required. Recently, many magnetic resonance imaging (MRI)-based CAD tools have been...
Autores principales: | Tandel, Gopal S., Tiwari, Ashish, Kakde, Omprakash G., Gupta, Neha, Saba, Luca, Suri, Jasjit S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914433/ https://www.ncbi.nlm.nih.gov/pubmed/36766587 http://dx.doi.org/10.3390/diagnostics13030481 |
Ejemplares similares
-
A Review on a Deep Learning Perspective in Brain Cancer Classification
por: Tandel, Gopal S., et al.
Publicado: (2019) -
Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm
por: Singh, Jaskaran, et al.
Publicado: (2023) -
An Ensemble of Deep Learning Enabled Brain Stroke Classification Model in Magnetic Resonance Images
por: Eshmawi, Ala' A., et al.
Publicado: (2022) -
Artificial Intelligence Applications in Cardiovascular Magnetic Resonance Imaging: Are We on the Path to Avoiding the Administration of Contrast Media?
por: Cau, Riccardo, et al.
Publicado: (2023) -
Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans
por: , Nillmani, et al.
Publicado: (2022)