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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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02/19/2023
Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images
Some major challenges associated with the automated processing of whole ...
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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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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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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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08/31/2021
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia
Oral epithelial dysplasia (OED) is a pre-malignant histopathological dia...
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08/23/2021
All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning
"Is it possible to predict expression levels of different genes at a giv...
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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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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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07/22/2019
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Digital histology images are amenable to the application of convolutiona...
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03/26/2019
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring
Estimating over-amplification of human epidermal growth factor receptor ...
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04/22/2018
Micro-Net: A unified model for segmentation of various objects in microscopy images
Object segmentation and structure localization are important steps in au...
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07/27/2017
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images
Convolutional Neural Network (CNN) models have become the state-of-the-a...
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03/01/2016
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
Colorectal adenocarcinoma originating in intestinal glandular structures...
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11/21/2014
