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Multi-classification of brain tumor MRI images using deep convolutional neural network with fully optimized framework
- Source :
- Iranian Journal of Science and Technology, Transactions of Electrical Engineering
- Publication Year :
- 2021
-
Abstract
- Brain tumor diagnosis and classification still rely on histopathological analysis of biopsy specimens today. The current method is invasive, time-consuming and prone to manual errors. These disadvantages show how essential it is to perform a fully automated method for multi-classification of brain tumors based on deep learning. This paper aims to make multi-classification of brain tumors for the early diagnosis purposes using convolutional neural network (CNN). Three different CNN models are proposed for three different classification tasks. Brain tumor detection is achieved with 99.33% accuracy using the first CNN model. The second CNN model can classify the brain tumor into five brain tumor types as normal, glioma, meningioma, pituitary and metastatic with an accuracy of 92.66%. The third CNN model can classify the brain tumors into three grades as Grade II, Grade III and Grade IV with an accuracy of 98.14%. All the important hyper-parameters of CNN models are automatically designated using the grid search optimization algorithm. To the best of author’s knowledge, this is the first study for multi-classification of brain tumor MRI images using CNN whose almost all hyper-parameters are tuned by the grid search optimizer. The proposed CNN models are compared with other popular state-of-the-art CNN models such as AlexNet, Inceptionv3, ResNet-50, VGG-16 and GoogleNet. Satisfactory classification results are obtained using large and publicly available clinical datasets. The proposed CNN models can be employed to assist physicians and radiologists in validating their initial screening for brain tumor multi-classification purposes.
- Subjects :
- Brain tumor image classification
Computer Networks and Communications
Computer science
Brain tumor
Energy Engineering and Power Technology
Convolutional neural network
02 engineering and technology
03 medical and health sciences
Mri image
0302 clinical medicine
Glioma
0202 electrical engineering, electronic engineering, information engineering
medicine
Grid search
Electrical and Electronic Engineering
Optimization algorithm
business.industry
Deep learning
Histopathological analysis
Pattern recognition
medicine.disease
Tumor grading
Signal Processing
Hyperparameter optimization
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
Artificial intelligence
Hyper-parameter optimization
business
030217 neurology & neurosurgery
Research Paper
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Iranian Journal of Science and Technology, Transactions of Electrical Engineering
- Accession number :
- edsair.doi.dedup.....8560fb803163f4e637d92b69b6d8f856