2021
DOI: 10.1007/978-3-030-92635-9_39
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Semi-automatic Segmentation of Tissue Regions in Digital Histopathological Image

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Cited by 2 publications
(1 citation statement)
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“…For pixel-level boundaries, semantic segmentation approaches are ideal 4 , 6 , 7 but require laborious pixel-wise annotations and a larger amount of training data. 21 , 22 , 23 An alternative approach for providing this specificity may be to combine superpixels with deep learning 24 , 25 hoping to benefit from superpixels’ more nuanced detection of organ/tissue boundaries.…”
Section: Discussionmentioning
confidence: 99%
“…For pixel-level boundaries, semantic segmentation approaches are ideal 4 , 6 , 7 but require laborious pixel-wise annotations and a larger amount of training data. 21 , 22 , 23 An alternative approach for providing this specificity may be to combine superpixels with deep learning 24 , 25 hoping to benefit from superpixels’ more nuanced detection of organ/tissue boundaries.…”
Section: Discussionmentioning
confidence: 99%