Training Set Design for Uneven Illumination Correction in High-Resolution Whole Slide Images. [PDF]
Nemati S, Shabani H, Mahmoudi-Aznaveh A.
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A comparative usability assessment of computer input devices for navigating digital whole slide images. [PDF]
Rogers J +5 more
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Deep-Learning Approaches for Cervical Cytology Nuclei Segmentation in Whole Slide Images. [PDF]
Mosquera-Zamudio A +5 more
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A hybrid multi-instance learning-based identification of gastric adenocarcinoma differentiation on whole-slide images. [PDF]
Zhang M +7 more
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Algorithms for whole-slide image classification
Deep neural networks for classification of histopathology wholeslide images Targets of trained networks will be released as a milestone during the project Classification algorithms will be implemented in a webbased platform available at Radboudumc namely CIRRUS Pathology Techniques addressing the problem of endtoend training of neural networks for WSI ...
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Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images. [PDF]
Li H +7 more
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Assessing the quality of whole slide images in cytology from nuclei features. [PDF]
Barthe P +8 more
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EGFR Mutation Detection in Whole Slide Images of Non-Small Cell Lung Cancers Using a Two-Stage Deep Transfer Learning Approach. [PDF]
Zanoletti M +13 more
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Impact of Tissue Thickness on Computational Quantification of Features in Whole Slide Images for Diagnostic Pathology. [PDF]
Shah M +5 more
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Algorithms for whole-slide image compression
Algorithms for wholeslide image compression The input of those algorithm is a multiresolution Gigapixel histopathology wholeslide image and the output is a compressed representation of the input in the form of a data volume rows columns features The amount of rows and column of the compressed representation will be much smaller than the original ...
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