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Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
We focus on the problem of training convolutional neural networks on gig...
04/15/2020 ∙ by David Tellez, et al. ∙
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Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
Stain variation is a phenomenon observed when distinct pathology laborat...
02/18/2019 ∙ by David Tellez, et al. ∙
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Neural Image Compression for Gigapixel Histopathology Image Analysis
We present Neural Image Compression (NIC), a method to reduce the size o...
11/07/2018 ∙ by David Tellez, et al. ∙
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Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
Manual counting of mitotic tumor cells in tissue sections constitutes on...
08/17/2018 ∙ by David Tellez, et al. ∙
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Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Tumor proliferation is an important biomarker indicative of the prognosi...
07/22/2018 ∙ by Mitko Veta, et al. ∙
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