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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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01/09/2023
Nuclear Segmentation and Classification: On Color Compression Generalization
Since the introduction of digital and computational pathology as a field...
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08/23/2022
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification
The appearance of histopathology images depends on tissue type, staining...
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06/23/2022
TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge
The quantification of tumor-infiltrating lymphocytes (TILs) has been sho...
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02/28/2022
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
The recent surge in performance for image analysis of digitised patholog...
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11/29/2021
CoNIC: Colon Nuclei Identification and Counting Challenge 2022
Nuclear segmentation, classification and quantification within Haematoxy...
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08/31/2021
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia
Oral epithelial dysplasia (OED) is a pre-malignant histopathological dia...
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08/25/2021
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
The development of deep segmentation models for computational pathology ...
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06/25/2021
Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations
Recent advances in whole slide imaging (WSI) technology have led to the ...
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08/11/2020
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images
Synthetic images can be used for the development and evaluation of deep ...
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04/06/2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
Histology images are inherently symmetric under rotation, where each ori...
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03/24/2020
PanNuke Dataset Extension, Insights and Baselines
The emerging area of computational pathology (CPath) is ripe ground for ...
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09/03/2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Colorectal cancer (CRC) grading is typically carried out by assessing th...
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12/16/2018
XY Network for Nuclear Segmentation in Multi-Tissue Histology Images
Nuclear segmentation within Haematoxylin & Eosin stained histology image...
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10/31/2018
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
High-resolution microscopy images of tissue specimens provide detailed i...
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07/31/2018
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
Mitosis count is an important biomarker for prognosis of various cancers...
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07/22/2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Tumor proliferation is an important biomarker indicative of the prognosi...
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06/05/2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
The analysis of glandular morphology within colon histopathology images ...
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04/22/2018