Whole-body Composition Profiling Using a Deep Learning Algorithm: Influence of Different Acquisition Parameters on Algorithm Performance and Robustness

Conclusions Body composition profiling from wbMRI by using a deep learning–based convolutional neuronal network algorithm for automated segmentation of body compartments is generally possible. First results indicate that robust and reproducible segmentations equally accurate to a manual expert may be expected also for a range of different acquisition parameters.
Source: Investigative Radiology - Category: Radiology Tags: Original Articles Source Type: research