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02/02/2023
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains
Methods for unsupervised domain adaptation (UDA) help to improve the per...
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01/07/2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
The segmentation and automatic identification of histological regions of...
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01/03/2023
Generative appearance replay for continual unsupervised domain adaptation
Deep learning models can achieve high accuracy when trained on large amo...
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04/26/2022
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
Multiple Instance Learning (MIL) methods have become increasingly popula...
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11/08/2021
BRACS: A Dataset for BReAst Carcinoma Subtyping in H E Histology Images
Breast cancer is the most commonly diagnosed cancer and registers the hi...
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07/21/2021
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
Advances in entity-graph based analysis of histopathology images have br...
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03/04/2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Segmenting histology images into diagnostically relevant regions is impe...
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02/22/2021
Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology
Cancer diagnosis and prognosis for a tissue specimen are heavily influen...
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11/25/2020
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Explainability of deep learning methods is imperative to facilitate thei...
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07/01/2020
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
Cancer diagnosis, prognosis, and therapeutic response prediction are hea...
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07/01/2020
Towards Explainable Graph Representations in Digital Pathology
Explainability of machine learning (ML) techniques in digital pathology ...
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06/24/2020
NINEPINS: Nuclei Instance Segmentation with Point Annotations
Deep learning-based methods are gaining traction in digital pathology, w...
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06/17/2020
