فهرست مطالب
Contents
Contributors
1 Brain MRI segmentation using deep learning: background study and challenges • Jyotismita Chaki
2 Data preprocessing techniques for MRI brain scans using deep learning models • T. Kalaiselvi, T. Anitha and P. Sriramakrishnan
3 A survey of brain segmentation methods from magnetic resonance imaging • Tran Anh Tuan and Pham The Bao
4 Brain tumor segmentation and detection in magnetic resonance imaging (MRI) using convolutional neural network • Bhuvanjeet Singh Gandhi, Shaik Ateeq Ur Rahman, Akash Butar and Akila Victor
5 Simultaneous brain tumor segmentation and molecular profiling using deep learning and T2w magnetic resonance images • Chandan Ganesh Bangalore Yogananda, Bhavya R. Shah, Fang F. Yu, Sahil S. Nalawade, James Holcomb, Divya Reddy, Benjamin C. Wagner, Marco C. Pinho, Bruce Mickey, Toral R. Patel, Baowei Fei, Ananth J. Madhuranthakam and Joseph A. Maldjian
6 An adaptive smart healthcare system to detect tumor from brain MRI using machine learning algorithm • Nidhi Gupta
7 Deep learning–based decision support system for multicerebral disease classification and identification • Shiyona Dash, Rajat Ajay Thakur, Smiti Tripathy and Sumit Kumar Jindal
8 Multimodal MRI Brain Tumor Segmentation—A ResNet-based U-Net approach • T. Kalaiselvi and S.T. Padmapriya
9 Deep learning–based brain malignant neoplasm classification using MRI image segmentation assisted by bias field correction and histogram equalization • Sumit Kumar Jindal, Sayak Banerjee, Ritayan Patra and Arin Paul
10 Brain MRI segmentation techniques based on CNN and its variants • B.K. Tripathy, S. Parikha, P. Ajay and C. Magapu
11 Detection of Brain Tumor with Magnetic Resonance Imaging using Deep Learning Techniques • Varalakshmi Perumal, Vasumathi Narayanan and Sakthi Jaya Sundar Rajasekar
12 On comparing optimizer of UNet-VGG16 architecture for brain tumor image segmentation • Anindya Apriliyanti Pravitasari, Nur Iriawan, Ulfa Siti Nuraini and Dwilaksana Abdullah Rasyid
13 Comparative analysis of deformable models based segmentation methods for brain tumor classification • D. Jayadevappa, Subodh Ingaleshwar and Sharan Kumar
14 Brain tumor segmentation using deep learning: taxonomy, survey and challenges • Ranjeet Kaur and Amit Doegar
Index
Contributors
1 Brain MRI segmentation using deep learning: background study and challenges • Jyotismita Chaki
2 Data preprocessing techniques for MRI brain scans using deep learning models • T. Kalaiselvi, T. Anitha and P. Sriramakrishnan
3 A survey of brain segmentation methods from magnetic resonance imaging • Tran Anh Tuan and Pham The Bao
4 Brain tumor segmentation and detection in magnetic resonance imaging (MRI) using convolutional neural network • Bhuvanjeet Singh Gandhi, Shaik Ateeq Ur Rahman, Akash Butar and Akila Victor
5 Simultaneous brain tumor segmentation and molecular profiling using deep learning and T2w magnetic resonance images • Chandan Ganesh Bangalore Yogananda, Bhavya R. Shah, Fang F. Yu, Sahil S. Nalawade, James Holcomb, Divya Reddy, Benjamin C. Wagner, Marco C. Pinho, Bruce Mickey, Toral R. Patel, Baowei Fei, Ananth J. Madhuranthakam and Joseph A. Maldjian
6 An adaptive smart healthcare system to detect tumor from brain MRI using machine learning algorithm • Nidhi Gupta
7 Deep learning–based decision support system for multicerebral disease classification and identification • Shiyona Dash, Rajat Ajay Thakur, Smiti Tripathy and Sumit Kumar Jindal
8 Multimodal MRI Brain Tumor Segmentation—A ResNet-based U-Net approach • T. Kalaiselvi and S.T. Padmapriya
9 Deep learning–based brain malignant neoplasm classification using MRI image segmentation assisted by bias field correction and histogram equalization • Sumit Kumar Jindal, Sayak Banerjee, Ritayan Patra and Arin Paul
10 Brain MRI segmentation techniques based on CNN and its variants • B.K. Tripathy, S. Parikha, P. Ajay and C. Magapu
11 Detection of Brain Tumor with Magnetic Resonance Imaging using Deep Learning Techniques • Varalakshmi Perumal, Vasumathi Narayanan and Sakthi Jaya Sundar Rajasekar
12 On comparing optimizer of UNet-VGG16 architecture for brain tumor image segmentation • Anindya Apriliyanti Pravitasari, Nur Iriawan, Ulfa Siti Nuraini and Dwilaksana Abdullah Rasyid
13 Comparative analysis of deformable models based segmentation methods for brain tumor classification • D. Jayadevappa, Subodh Ingaleshwar and Sharan Kumar
14 Brain tumor segmentation using deep learning: taxonomy, survey and challenges • Ranjeet Kaur and Amit Doegar
Index