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ImageCLEF 2019: CT Image Analysis for TB Severity Scoring and CT Report Generation using Autoencoded Image Features
2019
Conference and Labs of the Evaluation Forum
This paper presents a possible approach for the automated analysis of 3D Computed Tomography (CT) images based on the usage of feature vectors extracted by a deep convolutional 3D autoencoder network. Conventional classification models were used on top of the "autoencoded" feature vectors as well as vectors of meta-information paired with the images. The proposed CT image analysis approach was used by participant UIIP (Siarhei Kazlouski) for accomplishing the two subtasks of the ImageCLEF
dblp:conf/clef/Kazlouski19
fatcat:zfqdjuxrvjdtjacypuffc3lhmi