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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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01/30/2023
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images
Semantic segmentation of various tissue and nuclei types in histology im...
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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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08/26/2022
Stain-Robust Mitotic Figure Detection for MIDOG 2022 Challenge
The detection of mitotic figures from different scanners/sites remains a...
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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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02/24/2022
Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers
An accurate diagnosis and profiling of tumour are critical to the best t...
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02/21/2022
Deep Feature based Cross-slide Registration
Cross-slide image analysis provides additional information by analysing ...
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02/14/2022
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images
Diagnostic, prognostic and therapeutic decision-making of cancer in path...
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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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11/25/2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification
Federated learning (FL) enables collaborative learning of a deep learnin...
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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
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
Semi-supervised techniques have removed the barriers of large scale labe...
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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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06/28/2018
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images
Ki67 is an important biomarker for breast cancer. Classification of posi...
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06/18/2018
Deconvolving convolution neural network for cell detection
Automatic cell detection in histology images is a challenging task due t...
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04/22/2018