ImageCLEF 2019: CT Image Analysis for TB Severity Scoring and CT Report Generation using Autoencoded Image Features

Siarhei Kazlouski
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
more » ... ulosis task of the ImageCLEF 2019 international competition. Employing the proposed approach allowed to achieve the 2nd best performance on the TB Severity Scoring subtask and the 6th best performance in the TB CT Report subtask.
dblp:conf/clef/Kazlouski19 fatcat:zfqdjuxrvjdtjacypuffc3lhmi