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pro vyhledávání: '"Jewsbury, Robert"'
Stain normalization algorithms aim to transform the color and intensity characteristics of a source multi-gigapixel histology image to match those of a target image, mitigating inconsistencies in the appearance of stains used to highlight cellular co
Externí odkaz:
http://arxiv.org/abs/2403.09302
Autor:
Vu, Quoc Dang, Jewsbury, Robert, Graham, Simon, Jahanifar, Mostafa, Raza, Shan E Ahmed, Minhas, Fayyaz, Bhalerao, Abhir, Rajpoot, Nasir
Since the introduction of digital and computational pathology as a field, one of the major problems in the clinical application of algorithms has been the struggle to generalize well to examples outside the distribution of the training data. Existing
Externí odkaz:
http://arxiv.org/abs/2301.03418
Autor:
Bilal, Mohsin, Jewsbury, Robert, Wang, Ruoyu, AlGhamdi, Hammam M., Asif, Amina, Eastwood, Mark, Rajpoot, Nasir
Image analysis and machine learning algorithms operating on multi-gigapixel whole-slide images (WSIs) often process a large number of tiles (sub-images) and require aggregating predictions from the tiles in order to predict WSI-level labels. In this
Externí odkaz:
http://arxiv.org/abs/2211.01256
Autor:
Bilal, Mohsin, Jewsbury, Robert, Wang, Ruoyu, AlGhamdi, Hammam M., Asif, Amina, Eastwood, Mark, Rajpoot, Nasir
Publikováno v:
In Medical Image Analysis August 2023 88
Akademický článek
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