Raipuria et al., 2022 - Google Patents
Stain-aglr: Stain agnostic learning for computational histopathology using domain consistency and stain regeneration lossRaipuria et al., 2022
- Document ID
- 7338574101796351024
- Author
- Raipuria G
- Shrivastava A
- Singhal N
- Publication year
- Publication venue
- MICCAI Workshop on Domain Adaptation and Representation Transfer
External Links
Snippet
Stain color variations between Whole Slide Images (WSIs) is a key challenge in the application of Computational Histopathology. Deep learning-based algorithms are susceptible to domain shift and degrade in performance on the WSIs captured from a …
- 230000008929 regeneration 0 title description 18
Classifications
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- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
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