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. 2021 Feb 25;3(1):e200512. doi: 10.1148/ryct.2021200512

Figure 4:

Deep learning–based quantification of epicardial adipose tissue. A, Three-dimensional rendering of epicardial adipose tissue (pink overlay) derived from coronary artery calcium scoring CT, B, as manually measured by an expert, and C, as automatically quantified by a deep learning algorithm embedded in research software (QFAT [version 2.0; Cedars-Sinai Medical Center]). (Reprinted, with permission, from reference 12.)

Deep learning–based quantification of epicardial adipose tissue. A, Three-dimensional rendering of epicardial adipose tissue (pink overlay) derived from coronary artery calcium scoring CT, B, as manually measured by an expert, and C, as automatically quantified by a deep learning algorithm embedded in research software (QFAT [version 2.0; Cedars-Sinai Medical Center]). (Reprinted, with permission, from reference 12.)