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09/08/2023
Open and reusable deep learning for pathology with WSInfer and QuPath
The field of digital pathology has seen a proliferation of deep learning...
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02/17/2022
Visual attention analysis of pathologists examining whole slide images of Prostate cancer
We study the attention of pathologists as they examine whole-slide image...
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02/18/2020
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types
The distribution and appearance of nuclei are essential markers for the ...
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10/05/2018
Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance
We propose a software platform that integrates methods and tools for mul...
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12/13/2017
Unsupervised Histopathology Image Synthesis
Hematoxylin and Eosin stained histopathology image analysis is essential...
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04/03/2017
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images
Histopathology images are crucial to the study of complex diseases such ...
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12/20/2016
Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images
Classifying the various shapes and attributes of a glioma cell nucleus i...
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08/23/2016
Neural Networks with Smooth Adaptive Activation Functions for Regression
In Neural Networks (NN), Adaptive Activation Functions (AAF) have parame...
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04/29/2015