1
In total, 3060 VLE frames were analyzed via the CAD multiframe analysis.
2
Multiframe VLE image analysis shows improved BE neoplasia detection compared to single-frame analysis.
3
Those VLEs are primarily being used to offer learning support online rather than offline.
4
Prospectively collected ex-vivo VLE images from 29 BE-patients with and without early neoplasia were retrospectively analyzed.
5
Therefore, algorithms that can accurately find cancerous regions are very valuable for the interpretation of VLE data.
6
Furthermore, we train and validate our algorithm on a new histopathologically validated set of in-vivo VLE snapshots.
7
In total, 3060 VLE frames were automatically extracted and analyzed by CAD in 3.9 seconds.
8
However, interpretation of VLE scans is difficult for medical doctors due to both the size and subtlety of the gray-scale data.
9
Conclusion: The use of a new VLE-DA showed enhanced diagnostic performance for detecting BE dysplasia ex vivo compared with the current OCT-SI.
10
Multiple neighboring VLE frames, corresponding to 1.25 millimeter proximal and distal to each region of interest, were evaluated.
11
CAD with multiframe analysis allows for fast and accurate VLE interpretation, thereby showing feasibility of automatic full scan assessment in a real-time setting during endoscopy.