Accurate brain tumor detection using deep convolutional neural network
Mawlana Bhashani Science and Technology University · University of Dhaka · +8 more institutions
Abstract
Detection and Classification of a brain tumor is an important step to better understanding its mechanism. Magnetic Reasoning Imaging (MRI) is an experimental medical imaging technique that helps the radiologist find the tumor region. However, it is a time taking process and requires expertise to test the MRI images, manually. Nowadays, the advancement of Computer-assisted Diagnosis (CAD), machine learning, and deep learning in specific allow the radiologist to more reliably identify brain tumors. The traditional machine learning methods used to tackle this problem require a handcrafted feature for classification purposes. Whereas deep learning methods can be designed in a way to not require any handcrafted…
Citation impact
- FWCI
- 28.77
- Percentile
- 100%
- References
- 57
Authors
8- MSMd. Saikat Islam Khan
Mawlana Bhashani Science and Technology University
- ARAnichur RahmanCorresponding
University of Dhaka, Mawlana Bhashani Science and Technology University, Bangladesh University of Textiles
- TDTanoy Debnath
Green University of Bangladesh, Mawlana Bhashani Science and Technology University
- MRMd. Razaul Karim
Mawlana Bhashani Science and Technology University
- MKMostofa Kamal Nasir
Mawlana Bhashani Science and Technology University
Topics & keywords
- Computer science
- Artificial intelligence
- Convolutional neural network
- Deep learning
- Overfitting
- Transfer of learning
- Machine learning
- Feature (linguistics)