A hybrid deep learning model for brain tumour classification
A brain tumour is one of the major reasons for death in humans, and it is the tenth most common type of tumour that affects people of all ages. However, if detected early, it is one of the most treatable types of tumours. Brain tumours are classified using biopsy, which is not usually performed befo...
Saved in:
Main Authors: | Mohammed Rasool, Mohammed Rasool, Ismail, Nor Azman, Boulila, Wadii, Ammar, Adel, Samma, Hussein, Yafooz, Wael M. S., M. Emara, Abdel-Hamid |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/104616/1/MohammedRasool2022_AHybridDeepLearningModelforBrainTumour.pdf http://eprints.utm.my/104616/ http://dx.doi.org/10.3390/e24060799 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid deep learning model for face sketch recognition
by: Samma, Hussein, et al.
Published: (2022) -
A hybrid deep learning model for face sketch recognition
by: Samma, Hussein, et al.
Published: (2022) -
Brain MRI Tumor Analysis and Classification using Deep Learning
by: Ghazanfar, Latif
Published: (2021) -
Optimized deep autoencoder model for internet of things intruder detection
by: Lahasan, Badr, et al.
Published: (2022) -
Towards development of a high abstract model for drone forensic domain
by: Alhussan, Amel Ali, et al.
Published: (2022)