A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
In 2018, ImageCLEF proposed a task using CT (Computed Tomography) scans of patients with tuberculosis (TB). The task was divided into three subtasks: multi-drug resistance detection, TB type classification, and severity scoring. In this work we present a graph model of the lungs capable of characterizing TB patients with different lung problems. The graph contains a fixed number of nodes with weighted edges based on dissimilarity measures between texture descriptors computed in the nodes. Thisdblp:conf/clef/CidM18 fatcat:zxq72ycbp5h5jkfkyje7lpxylq