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Fig. 5 | Cancer Imaging

Fig. 5

From: Quantification of tumor burden in multiple myeloma by atlas-based semi-automatic segmentation of WB-DWI

Fig. 5

Representative coronal slices of the segmentation of the spine, pelvis and sternum. Segmentation from E1 (a), E2 (b), E3 (c), E4 (d), GS (e) and SA (f) on one image example. Segmentations are color-coded for easy reference. Identified lesions are highlighted by a white arrow. Radiologists segmented 7, 6, 42, 16 different lesions, of which 6 were identified by at least three (GS). SA identified 19 different lesions, from which 4 were correctly identified as such, which results in a sensitivity of 0.666 and PPV of 0.211. Overall, the segmentation of the lesions is consistent between the manually, GS and SA segmented images, with a greater focus on the iliac lesion

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