Abstract #2372

Automatic Multi-layer Classification System of Brain Tumor Based on Multi-modality MRI and Clinical Information

Yafei Wang¹, Yue Zhang¹, Lingyi Xu¹, Yu Sun¹, Lei Xiang², Meiping Ye², Suiren Wan¹, Bing Zhang², and Bin Zhu²

¹The Laboratory for Medical Electronics, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China, People's Republic of, ²Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, People's Republic of

Classification or grading of brain tumor alone would not be enough for clinical use, therefore we designed a comprehensive multi-layer system combining the two functions together. Firstly, we designed it as a three-layer system according to clinic workflow. Then, we extracted new features from multi-modality MRI and patients’ clinical information, which were easily ignored or difficult found by eyes. And then we implemented SVM and Tumor Model to classify tumor type and tumor grade. This study proposed a novel multi-layer system for clinic use by reducing the diagnosis uncertainty.

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