TY  - JOUR
A1  - van Meegdenburg, Timo
A1  - Kleesiek, Jens
A1  - Egger, Jan
A1  - Perrey, Sören
A2  - De Brevern, Alexandre G.
T1  - Improvement in Disease Diagnosis in Computed Tomography Images by Correlating Organ Volumes with Disease Occurrences in Humans
T2  - BioMedInformatics
N2  - In this paper, we investigate the influence of different disease groups on the size of different 1 anatomical structures. To this end, we first modify and improve an existing anatomical segmentation 2 model. Then, we use this model to segment 104 anatomical structures from computed tomography 3 (CT) scans and compute their volumes from the segmentation. After correlating the results with each 4 other, we find no new significant correlations. After correlating the volume data with known diseases 5 for each case, we find two weak correlations, one of which has not been described before and for 6 which we present a possible explanation.
KW  - Segmentation; Correlation; Diseases; Convolutional Neural Networks
Y1  - 2023
UR  - https://whge.opus.hbz-nrw.de/frontdoor/index/index/docId/4292
VL  - 2023
IS  - 3/3
SP  - 1
EP  - 18
ER  -