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Research Article
Brain Tumor Detection Using Deep Learning
Akhil Johny1
Ananthakrishnan K2
Aswin Anilkumar3
Divya K S4
1234Adi shankara Institute of Engineering and Technology/ A P J Abdul kalam Technical University, Kerala, India.
Published Online: July-August 2022
Pages: 24-29
Cite this article
No DOIReferences
1.Image Segmentation Algorithms Overview -Song Yuheng , Yan Ha
2. U-Net: Convolutional Networks for Biomedical Image Segmentation -Olaf Ronneberger, Philipp Fischer, and Thomas Brox
3. Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition -Jun Cheng , Wei Huang ,
Shuangliang Cao , Ru Yang , Wei Yang , Zhaoqiang Yun , Zhijian Wang , Qianjin Feng
4. Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network Milica M. Badža and Marko C. Barjaktarovi´cˇ
5. An Empirical Study of Oversampling and Undersampling for Instance Selection Methods on Imbalance Datasets -Julio Hernandez,
Jes´us Ariel Carrasco-Ochoa, and Jos´e Francisco Mart´ınez-Trinidad
2. U-Net: Convolutional Networks for Biomedical Image Segmentation -Olaf Ronneberger, Philipp Fischer, and Thomas Brox
3. Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition -Jun Cheng , Wei Huang ,
Shuangliang Cao , Ru Yang , Wei Yang , Zhaoqiang Yun , Zhijian Wang , Qianjin Feng
4. Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network Milica M. Badža and Marko C. Barjaktarovi´cˇ
5. An Empirical Study of Oversampling and Undersampling for Instance Selection Methods on Imbalance Datasets -Julio Hernandez,
Jes´us Ariel Carrasco-Ochoa, and Jos´e Francisco Mart´ınez-Trinidad
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