Semi-supervised framework combining self-training and cooperative-training achieves accurate signet ring cell detection on large real clinical pathology data.
Medical image analysis 26(1), 306–315 (2015)
2 Pith papers cite this work. Polarity classification is still indexing.
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A bottom-up nuclear segmentation method using Center Vector Encoding outperforms prior state-of-the-art approaches.
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Signet Ring Cell Detection With a Semi-supervised Learning Framework
Semi-supervised framework combining self-training and cooperative-training achieves accurate signet ring cell detection on large real clinical pathology data.
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Accurate Nuclear Segmentation with Center Vector Encoding
A bottom-up nuclear segmentation method using Center Vector Encoding outperforms prior state-of-the-art approaches.