A hybrid method for MRI brain image classification

By Yudong Zhang, Zhengchao Dong, Lenan Wu, Shuihua Wang. Expert systems with applications, 2011

372 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/70d99665161abfa3db77cce7fb440401f0be1605

How researchers see this paper

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

1. M. O. Khairandish
2. N. Z. Jhanjhi
3. Meenakshi Sharma
4. Jyotir Moy Chatterjee

Citations in the corpus

• A Hybrid CNN-SVM Threshold Segmentation Approach for Tumor Detection and Classification of MRI Brain Images (2021, background): “It can be applied in different domains such as speech identification [19], object recognition [20,21], image classification [22].”
• Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm (2014, unknown): “Our proposed method 99 100 92.8 DWT + PCA + BPNN (Yang et al., 2002; Zhang et al., 2011) 100 100 ** 100 ** SRGS + CCL + DWT + PCA + BPNN (Yamamoto et al., 2010; Jafari et al., 2011) 99.8 ** 100 98 DWT + PCA + K-NN (Arimura et al., 2012; El-Dahshan et al., 2010) 98 96 97 DWT + PCA + ANN (Arimura et…”