Cargando…
Feature Extraction Using a Residual Deep Convolutional Neural Network (ResNet-152) and Optimized Feature Dimension Reduction for MRI Brain Tumor Classification
One of the top causes of mortality in people globally is a brain tumor. Today, biopsy is regarded as the cornerstone of cancer diagnosis. However, it faces difficulties, including low sensitivity, hazards during biopsy treatment, and a protracted waiting period for findings. In this context, develop...
Autores principales: | Athisayamani, Suganya, Antonyswamy, Robert Singh, Sarveshwaran, Velliangiri, Almeshari, Meshari, Alzamil, Yasser, Ravi, Vinayakumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955169/ https://www.ncbi.nlm.nih.gov/pubmed/36832156 http://dx.doi.org/10.3390/diagnostics13040668 |
Ejemplares similares
-
S-ResNet: An improved ResNet neural model capable of the identification of small insects
por: Wang, Pei, et al.
Publicado: (2022) -
ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection †
por: Yaqoob, Muhammad Kashif, et al.
Publicado: (2021) -
Bearing Fault Reconstruction Diagnosis Method Based on ResNet-152 with Multi-Scale Stacked Receptive Field
por: Yu, Hu, et al.
Publicado: (2022) -
MAC-ResNet: Knowledge Distillation Based Lightweight Multiscale-Attention-Crop-ResNet for Eyelid Tumors Detection and Classification
por: Huang, Xingru, et al.
Publicado: (2022) -
An Efficient Framework to Detect Intracranial Hemorrhage Using Hybrid Deep Neural Networks
por: Rajagopal, Manikandan, et al.
Publicado: (2023)