Discrimination of benign and malignant GGO in LIDC/IDRI dataset using three-dimensional oriented GLCM and hyper-surface fitting
نویسندگان
چکیده
In this paper, the authors propose a novel method for texture analysis to discriminate malignant GGO from benign GGO in LIDC/IDRI dataset. The proposed method for texture analysis is based on the oriented gray level co-occurrence matrix (GLCM), which is also proposed by the authors. The oriented GLCM has the advantages that the noise reduction is unnecessary, and arbitrary direction and distance in the continuous space can be used because of the hyper-surface fitting. The authors discriminated tumors diagnosed as GGO in the LIDC/IDRI dataset into malignant or benign GGO. In the experiment, the proposed method classified 91 GGOs with 89% accuracy.
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