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Fig. 2 | Cancer Imaging

Fig. 2

From: Newly developed sarcopenia after liver transplantation, determined by a fully automated 3D muscle volume estimation on abdominal CT, can predict post-transplant diabetes mellitus and poor survival outcomes

Fig. 2

Representative three-dimensional (3D) reformatted (A) and cross-sectional (B-D) CT images of 3D U-Net that automatically segments CT images into a volumetric mask of seven body compartments in a 53-year-old male patient who underwent LT (body mass index, 26.2 kg/m.2). The overlapping lines represent the waist (white lines), L3 level (green line); skin (pink), subcutaneous fat (yellow), skeletal muscle (brown), abdominal visceral fat (light green), bone (light beige), internal organs and ascites (light gray), and central nervous system (light pink)

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Cancer Imaging

ISSN: 1470-7330

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