TY - JOUR
T1 - Application of deep transfer learning for automated brain abnormality classification using MR images
AU - Talo, Muhammed
AU - Baloglu, Ulas Baran
AU - Yıldırım, Özal
AU - Rajendra Acharya, U.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - Magnetic resonance imaging (MRI) is the most common imaging technique used to detect abnormal brain tumors. Traditionally, MRI images are analyzed manually by radiologists to detect the abnormal conditions in the brain. Manual interpretation of huge volume of images is time consuming and difficult. Hence, computer-based detection helps in accurate and fast diagnosis. In this study, we proposed an approach that uses deep transfer learning to automatically classify normal and abnormal brain MR images. Convolutional neural network (CNN) based ResNet34 model is used as a deep learning model. We have used current deep learning techniques such as data augmentation, optimal learning rate finder and fine-tuning to train the model. The proposed model achieved 5-fold classification accuracy of 100% on 613 MR images. Our developed system is ready to test on huge database and can assist the radiologists in their daily screening of MR images.
AB - Magnetic resonance imaging (MRI) is the most common imaging technique used to detect abnormal brain tumors. Traditionally, MRI images are analyzed manually by radiologists to detect the abnormal conditions in the brain. Manual interpretation of huge volume of images is time consuming and difficult. Hence, computer-based detection helps in accurate and fast diagnosis. In this study, we proposed an approach that uses deep transfer learning to automatically classify normal and abnormal brain MR images. Convolutional neural network (CNN) based ResNet34 model is used as a deep learning model. We have used current deep learning techniques such as data augmentation, optimal learning rate finder and fine-tuning to train the model. The proposed model achieved 5-fold classification accuracy of 100% on 613 MR images. Our developed system is ready to test on huge database and can assist the radiologists in their daily screening of MR images.
KW - Abnormal brain images
KW - CNN
KW - Deep transfer learning
KW - MRI classification
UR - http://www.scopus.com/inward/record.url?scp=85059148823&partnerID=8YFLogxK
U2 - 10.1016/j.cogsys.2018.12.007
DO - 10.1016/j.cogsys.2018.12.007
M3 - Article (Academic Journal)
AN - SCOPUS:85059148823
VL - 54
SP - 176
EP - 188
JO - Cognitive Systems Research
JF - Cognitive Systems Research
SN - 1389-0417
ER -