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Found 2 papers, 1 papers with code
SEMv3: A Fast and Robust Approach to Table Separation Line Detection
The `"split-and-merge" paradigm is a pivotal approach to parse table structure, where the table separation line detection is crucial.
A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN
To address this problem, we proposed a weakly supervised registration-based framework for the precise prostate segmentation, by combining convolutional neural network (CNN) with statistical shape model (SSM).
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