TY - JOUR A1 - van Meegdenburg, Timo A1 - Kleesiek, Jens A1 - Egger, Jan A1 - Perrey, Sören 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 KW - Correlation KW - Diseases KW - Convolutional Neural Networks Y1 - 2023 UR - https://opus4.kobv.de/opus4-w-hs/frontdoor/index/index/docId/4292 UR - https://nbn-resolving.org/urn:nbn:de:hbz:1010-opus4-42927 SN - 2673-7426 VL - 2023 IS - 3 (3) SP - 526 EP - 542 PB - MDPI ER -