Mar 10, 2020 · In this work, we propose a method of automatically creating pseudo ground truth (p-GT) segmentations of anatomical objects from given sparse ...
Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans. Author links open ...
There are two main issues with generating GT segmentations: expense and imprecision. GT reference is most typically provided by manual (human expert) contouring ...
In this work, we propose a method of automatically creating pseudo ground truth (p-GT) segmentations of anatomical objects from given sparse manually annotated ...
Jan 26, 2021 · In this work, keeping the expense issue in mind and recognizing the fact that perfect ground truth does not exist, we take inter-segmenter ...
One reason for this is lack of ground-truth and the large variability of plausible deformations that can align corresponding anatomies. Therefore, the problem ...
Our approach is object based and accepts as input data binary slices belonging to the same anatomical structure. ... analysis and associated computation anatomy ...
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Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans.
Jan 26, 2021 · Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans. Med ...
Missing: Anatomy | Show results with:Anatomy
This paper presents a generic learning approach based on a novel space of segmentation features, which can be trained to predict the overlap error and Dice ...