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Found 3 papers, 3 papers with code
Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images
Cancer segmentation in whole-slide images is a fundamental step for viable tumour burden estimation, which is of great value for cancer assessment.
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings
Experimental results show that the SMSE improves the performance for histopathological image classification tasks for both breast and liver cancers by a large margin compared to previous methods.
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
The embedding layer is added into the region proposal networks, enabling the networks to learn discriminative features based on similarity learning.
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