Detection and Diagnosis of Brain Tumor using Convolutional Neural Networks
Keywords:
Brain, CNN, DL, MRI, TumorAbstract
Brain tumors are one of the major health problems related to abnormalities in the human brain. An activist diagnosis of brain tumors is critical to improve patient outcomes and lives. Early detection of tumors is crucial for treatment. Magnetic Resonance Imaging (MRI) is one of the most commonly used diagnostic methods for brain tumors in the clinical area. Manual detection of brain tumors is becoming increasingly time-consuming and costly. Therefore, an automated Computer Aided Diagnosis (CAD) system is needed to help doctors and radiologists detect these deadly tumors in time, thereby saving precious lives. Convolutional Neural Networks (CNNs) are widely used in various CAD systems. CNNs play an important role in healthcare as image processing techniques for segmentation, recognition, and classification of MRI images and classification and detection of brain tumors. This paper applies the Deep Learning (DL) architectures for brain tumor detection and classification. Implement a deep learning (CNN) based computational approach that includes image pre-processing to extract regions of interest in the image itself to identify and detect tumors in the brain. The highest accuracy rate in the experiment reached 96%. Evaluation metrics used include sensitivity, precision, loss, and F1 score. The results obtained will aid in the diagnosis and detection of brain tumors.
References
Asma Naseer, et al., Computer-Aided Brain Tumor Diagnosis: Performance Evaluation of Deep Learner CNN Using Augmented Brain MRI, International Journal of Biomedical Imaging, Volume 2021, 2021.
P Gokila Brindha, et al., Brain tumor detection from MRI images using deep learning techniques, IOP Conf. Series: Materials Science and Engineering, 1055, 2021.
Haitham Alsaif, et al., A Novel Data Augmentation-Based Brain Tumor Detection Using Convolutional Neural Network, Applied sciences, 12, 3773, 2022.
Sneha Grampurohit, et al., Brain Tumor Detection using Deep Learning Mmodels, India Council International Subsections Conference, 2020.
Akila Gurunathan, and Batri Krishnan, Detection and diagnosis of brain tumors using deep learning convolutional neural networks, International Journal Imaging System Technology, 1, 11, 2020.
Tonmoy Hossain, et al. ,Brain Tumor Detection Using Convolutional Neural Network, First International Conference on Advances in Science, Engineering and Robotics Technology, 2019.
Aryan Sagar Methil, Brain Tumor Detection using Deep Learning and Image Processing, Proceedings of the International Conference on Artificial Intelligence and Smart Systems, 2021.
Ayesha Younis, et al., Brain Tumor Analysis Using Deep Learning and VGG-16 Ensembling Learning Approaches, applied sciences, 12, 7282, 2022.
Mahsa Arabahmadi, et al., Deep Learning for Smart Healthcare – A Survey on Brain Tumor Detection from Medical Imaging, Sensors, 22, 1960, 2022.
Brain_Tumor_Detection_MRI,https://www.kaggle.com/datasets/abhranta/brain-tumor-detection mri?select=Brain_Tumor_Detection
Hasnain Ali Shah, et al., A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Fine tuned Efficient Net, multidisciplinary, 2022.
Driss Lamrani, et al., Brain Tumor Detection using MRI Images and Convolutional Neural Network, International Journal of Advanced Computer Science and Applications, Vol. 13, No. 7, 2022.
Maibam Mangalleibi Chanu, and Khelchandra Thongam, and Humanized Computing, Computer-aided detection of brain tumor from magnetic resonance images using deep learning network, Journal of Ambient Intelligence, 2020.
