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07/06/2023
A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia
Oral epithelial dysplasia (OED) is a premalignant histopathological diag...
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05/08/2023
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout
Generating annotated pairs of realistic tissue images along with their a...
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02/23/2023
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images
Malignant mesothelioma is classified into three histological subtypes, E...
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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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12/28/2022
SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts
Automated synthesis of histology images has several potential applicatio...
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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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01/28/2022
REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology
Motivation: Digitization of pathology laboratories through digital slide...
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12/17/2021
Towards Launching AI Algorithms for Cellular Pathology into Clinical Pharmaceutical Orbits
Computational Pathology (CPath) is an emerging field concerned with the ...
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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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10/12/2021
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer
Human epidermal growth factor receptor 2 (HER2) is an important prognost...
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09/02/2021
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge
The detection of mitotic figures from different scanners/sites remains a...
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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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08/23/2021
L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer
Can we predict if an early stage cancer patient is at high risk of devel...
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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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06/14/2021
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology
Deep learning models are routinely employed in computational pathology (...
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11/20/2020
Elementary Effects Analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of Social Distancing and Mask Usage
COVID-19 was declared a pandemic by the World Health Organization (WHO) ...
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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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01/07/2019
Ten ways to fool the masses with machine learning
If you want to tell people the truth, make them laugh, otherwise they'll...
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11/11/2018