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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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05/03/2023
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification
Classification of gigapixel Whole Slide Images (WSIs) is an important pr...
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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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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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11/02/2022
An Aggregation of Aggregation Methods in Computational Pathology
Image analysis and machine learning algorithms operating on multi-gigapi...
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10/31/2022
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images
Multiple Instance Learning (MIL) is a widely employed framework for lear...
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09/07/2022
Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images
Histology images with multi-gigapixel of resolution yield rich informati...
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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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06/16/2022
Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H E images
The aetiology of head and neck squamous cell carcinoma (HNSCC) involves ...
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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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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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02/06/2022
On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks
Unavailability of large training datasets is a bottleneck that needs to ...
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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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08/30/2021
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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08/24/2021
A QuadTree Image Representation for Computational Pathology
The field of computational pathology presents many challenges for comput...
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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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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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04/01/2021
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis
The problem of recognizing various types of tissues present in multi-gig...
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03/08/2021
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles
We present ARCH, a computational pathology (CP) multiple instance captio...
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02/21/2021
Classification of COVID-19 via Homology of CT-SCAN
In this worldwide spread of SARS-CoV-2 (COVID-19) infection, it is of ut...
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08/12/2020
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
While high-resolution pathology images lend themselves well to `data hun...
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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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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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05/09/2020
Multi-Task Learning in Histo-pathology for Widely Generalizable Model
In this work we show preliminary results of deep multi-task learning in ...
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04/06/2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
Histology images are inherently symmetric under rotation, where each ori...
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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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03/06/2020
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images
To train a robust deep learning model, one usually needs a balanced set ...
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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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09/03/2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Colorectal cancer (CRC) grading is typically carried out by assessing th...
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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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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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10/31/2018
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
High-resolution microscopy images of tissue specimens provide detailed i...
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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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08/02/2018
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
With multiple crowd gatherings of millions of people every year in event...
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07/31/2018
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
Mitosis count is an important biomarker for prognosis of various cancers...
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07/22/2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Tumor proliferation is an important biomarker indicative of the prognosi...
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06/06/2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
International challenges have become the standard for validation of biom...
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06/05/2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
The analysis of glandular morphology within colon histopathology images ...
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05/09/2018
Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features
Tumor segmentation in whole-slide images of histology slides is an impor...
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01/23/2018