Cargando…
ETISTP: An Enhanced Model for Brain Tumor Identification and Survival Time Prediction
Technology-assisted diagnosis is increasingly important in healthcare systems. Brain tumors are a leading cause of death worldwide, and treatment plans rely heavily on accurate survival predictions. Gliomas, a type of brain tumor, have particularly high mortality rates and can be further classified...
Autores principales: | Hussain, Shah, Haider, Shahab, Maqsood, Sarmad, Damaševičius, Robertas, Maskeliūnas, Rytis, Khan, Muzammil |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137470/ https://www.ncbi.nlm.nih.gov/pubmed/37189556 http://dx.doi.org/10.3390/diagnostics13081456 |
Ejemplares similares
-
Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
por: Maqsood, Sarmad, et al.
Publicado: (2022) -
Hemorrhage Detection Based on 3D CNN Deep Learning Framework and Feature Fusion for Evaluating Retinal Abnormality in Diabetic Patients
por: Maqsood, Sarmad, et al.
Publicado: (2021) -
CSID: A Novel Multimodal Image Fusion Algorithm for Enhanced Clinical Diagnosis
por: Muzammil, Shah Rukh, et al.
Publicado: (2020) -
Optimized Convolutional Fusion for Multimodal Neuroimaging in Alzheimer’s Disease Diagnosis: Enhancing Data Integration and Feature Extraction
por: Odusami, Modupe, et al.
Publicado: (2023) -
ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms
por: Lauraitis, Andrius, et al.
Publicado: (2018)