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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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01/09/2023
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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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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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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08/31/2021
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia
Oral epithelial dysplasia (OED) is a pre-malignant histopathological dia...
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08/30/2021
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input
From the simple measurement of tissue attributes in pathology workflow t...
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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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06/29/2021
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification
Digitization of histology images and the advent of new computational met...
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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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11/23/2020
Automatic Recognition of the Supraspinatus Tendinopathy from Ultrasound Images using Convolutional Neural Networks
Tendon injuries like tendinopathies, full and partial thickness tears ar...
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05/29/2020
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images
Object Segmentation is an important step in the work-flow of computation...
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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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09/07/2019
NuClick: From Clicks in the Nuclei to Nuclear Boundaries
Best performing nuclear segmentation methods are based on deep learning ...
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08/27/2019
Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework
Nuclear segmentation in histology images is a challenging task due to si...
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09/23/2018
Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images
Computer-aided diagnosis systems for classification of different type of...
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08/22/2018
Nuclei Detection Using Mixture Density Networks
Nuclei detection is an important task in the histology domain as it is a...
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02/28/2017