title: Joint sparse coding based spatial pyramid matching for classification of color medical image.
abstract: Although color medical images are important in clinical practice, they are usually converted to grayscale for further processing in pattern recognition, resulting in loss of rich color information. The sparse coding based linear spatial pyramid matching (ScSPM) and its variants are popular for grayscale image classification, but cannot extract color information. In this paper, we propose a joint sparse coding based SPM (JScSPM) method for the classification of color medical images. A joint dictionary can represent both the color information in each color channel and the correlation between channels. Consequently, the joint sparse codes calculated from a joint dictionary can carry color information, and therefore this method can easily transform a feature descriptor originally designed for grayscale images to a color descriptor. A color hepatocellular carcinoma histological image dataset was used to evaluate the performance of the proposed JScSPM algorithm. Experimental results show that JScSPM provides significant improvements as compared with the majority voting based ScSPM and the original ScSPM for color medical image classification.
authors: School of Communication and Information Engineering, Shanghai University, Shanghai, China. Electronic address: junshi@staff.shu.edu.cn.
authors: Jun
authors: J
authors: Shi
authors: Department of Histology and Embryology, Medical College, Nantong University, Nantong, China.
authors: Yi
authors: Y
authors: Li
authors: School of Communication and Information Engineering, Shanghai University, Shanghai, China.
authors: Jie
authors: J
authors: Zhu
authors: School of Communication and Information Engineering, Shanghai University, Shanghai, China.
authors: Haojie
authors: H
authors: Sun
authors: School of Communication and Information Engineering, Shanghai University, Shanghai, China.
authors: Yin
authors: Y
authors: Cai
mesh_terms: D000465:Algorithms; D006528:Carcinoma, Hepatocellular / Q000473:pathology*; D003116:Color; D003124:Colorimetry / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008113:Liver Neoplasms / Q000473:pathology*; D000069550:Machine Learning; D008853:Microscopy / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: Classification; Color medical image; Joint sparse coding; Spatial pyramid matching