Cargando…
State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images
Brain tumors have become a leading cause of death around the globe. The main reason for this epidemic is the difficulty conducting a timely diagnosis of the tumor. Fortunately, magnetic resonance images (MRI) are utilized to diagnose tumors in most cases. The performance of a Convolutional Neural Ne...
Autores principales: | Yaqub, Muhammad, Feng, Jinchao, Zia, M. Sultan, Arshid, Kaleem, Jia, Kebin, Rehman, Zaka Ur, Mehmood, Atif |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407771/ https://www.ncbi.nlm.nih.gov/pubmed/32635409 http://dx.doi.org/10.3390/brainsci10070427 |
Ejemplares similares
-
Correction to: Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
por: Shabaan, Muhammad, et al.
Publicado: (2020) -
Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
por: Yaqub, Muhammad, et al.
Publicado: (2022) -
Optimization of CNN through Novel Training Strategy for Visual Classification Problems
por: Rehman, Sadaqat ur, et al.
Publicado: (2018) -
Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
por: Shabaan, Muhammad, et al.
Publicado: (2020) -
A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal
por: Ullah, Amin, et al.
Publicado: (2021)