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01/16/2023
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset
We introduce LYSTO, the Lymphocyte Assessment Hackathon, which was held ...
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07/13/2022
Domain adaptation strategies for cancer-independent detection of lymph node metastases
Recently, large, high-quality public datasets have led to the developmen...
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09/16/2021
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images
Artificial Intelligence (AI) can potentially support histopathologists i...
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06/24/2021
High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology
We compare variational image registration in consectutive and re-stained...
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12/09/2020
Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer
Nuclear pleomorphism is the degree of change in nuclear morphology, one ...
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06/22/2020
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
We propose HookNet, a semantic segmentation model for histopathology who...
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06/05/2020
Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels
Prostate cancer is the most prevalent cancer among men in Western countr...
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04/15/2020
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
We focus on the problem of training convolutional neural networks on gig...
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02/11/2020
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
While the Gleason score is the most important prognostic marker for pros...
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07/18/2019
Automated Gleason Grading of Prostate Biopsies using Deep Learning
The Gleason score is the most important prognostic marker for prostate c...
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02/18/2019
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...
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11/07/2018
Neural Image Compression for Gigapixel Histopathology Image Analysis
We present Neural Image Compression (NIC), a method to reduce the size o...
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08/17/2018
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...
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08/17/2018
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
Prostate cancer (PCa) is graded by pathologists by examining the archite...
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05/10/2017
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
Automated classification of histopathological whole-slide images (WSI) o...
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03/17/2017
