An efficient approach to diagnose brain tumors through deep CNN
Background and objective: Brain tumors are among the most common complications with debilitating or even death potential. Timely detection of brain tumors particularly at an early stage can lead to successful treatment of the patients. In this regard, numerous diagnosis methods have been proposed, a...
Main Authors: | Bakhtyar Ahmed Mohammed, Muzhir Shaban Al-Ani |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2021-04-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | http://www.aimspress.com/article/doi/10.3934/mbe.2021045?viewType=HTML |
Similar Items
-
Detection and classification of brain tumours from MRI images using faster R-CNN
by: Kerem Salçin, et al.
Published: (2019-01-01) -
Review Research of Medical Image Analysis Using Deep Learning
by: Bakhtyar Ahmed Mohammed, et al.
Published: (2020-08-01) -
Facial Emotion Recognition Using Transfer Learning in the Deep CNN
by: M. A. H. Akhand, et al.
Published: (2021-04-01) -
Birth Anomalies and Risk of Childhood CNS Tumors
by: J Gordon Millichap
Published: (2011-10-01) -
Histone Deacetylase Inhibitors in Pediatric Brain Cancers: Biological Activities and Therapeutic Potential
by: Alexandre Perla, et al.
Published: (2020-07-01)