MRI based medical image analysis: Survey on brain tumor grade classification

By G. Mohan, M. Monica Subashini. Biomedical Signal Processing and Control, 2018

379 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Neurology

View Paper: https://www.semanticscholar.org/paper/082650310f627fcc5debbb9e23112ab678aa46fc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Javaria Amin
2. Muhammad Sharif
3. A. Haldorai
4. R. Nayak
5. M. Martínez-Zarzuela
6. M. Antón-Rodríguez
7. D. G. Ortega
8. F. Pernas

Citations in the corpus

• A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network (2021, background): “An automatic detection, location, and classification procedure is desirable and worthwhile [1].”
• Brain tumor detection and classification using machine learning: a comprehensive survey (2021, background): “, tumor substructure (complete/non-enhanced/enhanced) [193], tumor and nontumor [26], and benign and malignant tumor [15, 47, 163, 194, 195].”
• Brain tumor classification using deep CNN features via transfer learning (2019, neutral): “Grading of glioma, which is a major class of malignant tumors, is another research problem in this domain [2].”