A Deep Convolutional Neural Network Approach for Reliable Brain Tumor Detection and Segmentation System
Author:
Affiliation:
1. DayalBagh Educational Institute,Department of Electrical Engineering,Agra,India
2. National Institute of Technology Patna,Department of Electronics and Communication Engineering,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10205372/10205375/10205675.pdf?arnumber=10205675
Reference18 articles.
1. A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration
2. A Literature Review on Brain Tumor Detection and Segmentation
3. A deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images;ragupathy;Int J Imaging Syst Technol Wiley Periodicals LLC,2020
4. GTIKF- Gabor-Transform Incorporated K-Means and Fuzzy C Means Clustering for Edge Detection in CT and MRI
5. Efective segmentation and classifcation of brain tumor using rough K means algorithm and multi kernel SVM in MR images;krishnakumar;Journal of Ambient Intelligence and Humanized Computing,2020
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