Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis
A brain tumor (BT) is an abnormal development of brain cells that causes damage to the nerves and blood vessels. An accurate and early diagnosis of BT is important to prevent future complications. Precise segmentation of the BT provides a basis for surgical and planning treatment to physicians. Manu...
Main Authors: | Manar Ahmed Hamza, Hanan Abdullah Mengash, Saud S. Alotaibi, Siwar Ben Haj Hassine, Ayman Yafoz, Fahd Althukair, Mahmoud Othman, Radwa Marzouk |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/15/7953 |
Similar Items
-
Laryngeal Cancer Detection and Classification Using Aquila Optimization Algorithm With Deep Learning on Throat Region Images
by: Fadwa Alrowais, et al.
Published: (2023-01-01) -
Metaheuristics Optimization with Deep Learning Enabled Automated Image Captioning System
by: Mesfer Al Duhayyim, et al.
Published: (2022-07-01) -
Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images
by: Mohammed Aljebreen, et al.
Published: (2024-01-01) -
Detuned Resonances
by: Greg Colyer, et al.
Published: (2022-09-01) -
Leveraging Marine Predators Algorithm with Deep Learning for Lung and Colon Cancer Diagnosis
by: Hanan Abdullah Mengash, et al.
Published: (2023-03-01)