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Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cjp2.3openalex-snapshot
Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium
inferredcites →https://doi.org/10.1007/s10549-013-2560-8openalex-snapshot
Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry
inferredcites →https://doi.org/10.1016/j.biocon.2009.05.006openalex-snapshot
eBird: A citizen-based bird observation network in the biological sciences
inferredcites →https://doi.org/10.1016/j.ebiom.2015.05.009openalex-snapshot
Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer
inferredcites →https://doi.org/10.1038/466807aopenalex-snapshot
Supercomputing for the birds
inferredcites →https://doi.org/10.1038/bjc.2011.569openalex-snapshot
Comparison of Visual and automated assessment of Ki-67 proliferative activity and their impact on outcome in primary operable invasive ductal breast cancer
inferredcites →https://doi.org/10.1038/bjc.2012.558openalex-snapshot
Astronomical algorithms for automated analysis of tissue protein expression in breast cancer
inferredcites →https://doi.org/10.1038/nature13240openalex-snapshot
Space–time wiring specificity supports direction selectivity in the retina
inferredcites →https://doi.org/10.1038/ncponc0046openalex-snapshot
Technology Insight: identification of biomarkers with tissue microarray technology
inferredcites →https://doi.org/10.1038/nmeth.2855openalex-snapshot
Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods
inferredcites →https://doi.org/10.1038/nrc1608openalex-snapshot
The Nurses' Health Study: lifestyle and health among women
inferredcites →https://doi.org/10.1093/jnci/djm270openalex-snapshot
Comparison of Estrogen Receptor Results From Pathology Reports With Results From Central Laboratory Testing
inferredcites →https://doi.org/10.1109/rbme.2009.2034865openalex-snapshot
Histopathological Image Analysis: A Review
inferredcites →https://doi.org/10.1109/rbme.2013.2295804openalex-snapshot
Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential
inferredcites →https://doi.org/10.1111/j.1365-2559.2012.04329.xopenalex-snapshot
Comparison of the effect of different techniques for measurement of Ki67 proliferation on reproducibility and prognosis prediction accuracy in breast cancer
inferredcites →https://doi.org/10.1111/j.1365-2966.2008.13689.xopenalex-snapshot
Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey ★
inferredcites →https://doi.org/10.1121/1.4861348openalex-snapshot
Classification of large acoustic datasets using machine learning and crowdsourcing: Application to whale calls
inferredcites →https://doi.org/10.1142/9789814644730_0029openalex-snapshot
CROWDSOURCING IMAGE ANNOTATION FOR NUCLEUS DETECTION AND SEGMENTATION IN COMPUTATIONAL PATHOLOGY: EVALUATING EXPERTS, AUTOMATED METHODS, AND THE CROWD
inferredcites →https://doi.org/10.1158/1055-9965.epi-09-1023openalex-snapshot
Assessment of Automated Image Analysis of Breast Cancer Tissue Microarrays for Epidemiologic Studies
inferredcites →https://doi.org/10.1186/1746-1596-9-s1-s6openalex-snapshot
Preliminary results from a crowdsourcing experiment in immunohistochemistry
inferredcites →https://doi.org/10.2196/jmir.2338openalex-snapshot
Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears
inferredcites →https://doi.org/10.3389/fnana.2015.00142openalex-snapshot
Crowdsourcing the creation of image segmentation algorithms for connectomics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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The diagnosis conundrum: Comparison of crowdsourced and expert assessments of toddlers with high and low risk of autism spectrum disorder
inferred← citeshttps://doi.org/10.1007/978-3-030-00949-6_6openalex-snapshot
Role of Task Complexity and Training in Crowdsourced Image Annotation
inferred← citeshttps://doi.org/10.1007/s00418-021-02022-8openalex-snapshot
How the variability between computer-assisted analysis procedures evaluating immune markers can influence patients’ outcome prediction
inferred← citeshttps://doi.org/10.1016/j.gpb.2017.07.003openalex-snapshot
Deep Learning and Its Applications in Biomedicine
inferred← citeshttps://doi.org/10.1016/j.heliyon.2018.e00669openalex-snapshot
Automated analysis of images for molecular quantification in immunohistochemistry
inferred← citeshttps://doi.org/10.1016/j.ipm.2018.03.006openalex-snapshot
Understanding crowdsourcing projects: A systematic review of tendencies, workflow, and quality management
inferred← citeshttps://doi.org/10.1016/j.ipm.2019.102135openalex-snapshot
Information Technology (IT) enabled crowdsourcing: A conceptual framework
inferred← citeshttps://doi.org/10.1016/j.media.2020.101813openalex-snapshot
Deep neural network models for computational histopathology: A survey
inferred← citeshttps://doi.org/10.1016/j.molstruc.2023.135604openalex-snapshot
Interactions between carbon nanotubes and external structures of SARS-CoV-2 using molecular docking and molecular dynamics
inferred← citeshttps://doi.org/10.1038/s41598-024-51995-8openalex-snapshot
Task design for crowdsourced glioma cell annotation in microscopy images
inferred← citeshttps://doi.org/10.1038/s41598-024-61687-yopenalex-snapshot
Crowdsourcing with the drift diffusion model of decision making
inferred← citeshttps://doi.org/10.1093/bioinformatics/btz083openalex-snapshot
Structured crowdsourcing enables convolutional segmentation of histology images
inferred← citeshttps://doi.org/10.1097/pas.0000000000002129openalex-snapshot
Reply: Salivary Gland Secretory Carcinoma: Clinicopathologic and Genetic Characteristics of 215 Cases and Proposal for a Grading System
inferred← citeshttps://doi.org/10.1101/768465openalex-snapshot
Cognitive and non-cognitive outcomes associated with student engagement in a novel brain chemoarchitecture mapping course-based undergraduate research experience
inferred← citeshttps://doi.org/10.1109/isbi.2019.8759240openalex-snapshot
Segmenting The Kidney On CT Scans Via Crowdsourcing
inferred← citeshttps://doi.org/10.1109/tcbb.2023.3274211openalex-snapshot
Prediction of Five-Year Survival Rate for Rectal Cancer Using Markov Models of Convolutional Features of RhoB Expression on Tissue Microarray
inferred← citeshttps://doi.org/10.1109/tmi.2018.2883237openalex-snapshot
Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students
inferred← citeshttps://doi.org/10.1117/1.jmi.5.3.034002openalex-snapshot
Large-scale medical image annotation with crowd-powered algorithms
inferred← citeshttps://doi.org/10.1117/12.2669651openalex-snapshot
CROMA: a crowdsourcing web-based application for image resources platform
inferred← citeshttps://doi.org/10.1145/3411764.3445402openalex-snapshot
Designing Ground Truth and the Social Life of Labels
inferred← citeshttps://doi.org/10.1145/3449064openalex-snapshot
Spot the Difference
inferred← citeshttps://doi.org/10.1146/annurev-biodatasci-072018-021139openalex-snapshot
Scientific Discovery Games for Biomedical Research
inferred← citeshttps://doi.org/10.1186/s40478-023-01691-xopenalex-snapshot
Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles
inferred← citeshttps://doi.org/10.15346/hc.v7i1openalex-snapshot
A Survey of Crowdsourcing in Medical Image Analysis
inferred← citeshttps://doi.org/10.15346/hc.v7i1.1openalex-snapshot
A Survey of Crowdsourcing in Medical Image Analysis
inferred← citeshttps://doi.org/10.15346/hc.v7i1.111openalex-snapshot
A Survey of Crowdsourcing in Medical Image Analysis
inferred← citeshttps://doi.org/10.1609/hcomp.v5i1.13297openalex-snapshot
A Trust-Based Coordination System for Participatory Sensing Applications
inferred← citeshttps://doi.org/10.1609/hcomp.v9i1.18949openalex-snapshot
Enhancing Image Classification Capabilities of Crowdsourcing-Based Methods through Expanded Input Elicitation
inferred← citeshttps://doi.org/10.2196/17853openalex-snapshot
Crawling the German Health Web: Exploratory Study and Graph Analysis
inferred← citeshttps://doi.org/10.26717/bjstr.2022.42.006718openalex-snapshot
"Impact of Deep Learning and Applications in Biomedicine"
inferred← citeshttps://doi.org/10.29333/ejgm/18520openalex-snapshot
ML in breast cancer IHC: Pilot evaluation on non-ideal slides in Kazakhstan
inferred← citeshttps://doi.org/10.31799/1684-8853-2018-4-45-51openalex-snapshot
Model and Method for Contributor’s Quality Assessment in Community Image Tagging Systems
inferred← citeshttps://doi.org/10.3343/alm.2020.40.4.312openalex-snapshot
Development of an Automated Image Analyzer for Microvessel Density Measurement in Bone Marrow Biopsies
inferred← citeshttps://doi.org/10.3389/frai.2022.848056openalex-snapshot
Improving Crowdsourcing-Based Image Classification Through Expanded Input Elicitation and Machine Learning
inferred← citeshttps://doi.org/10.3390/bioengineering11050434openalex-snapshot
Synergizing Deep Learning-Enabled Preprocessing and Human–AI Integration for Efficient Automatic Ground Truth Generation
inferred← citeshttps://doi.org/10.3390/cells14141109openalex-snapshot
A High-Throughput ImmunoHistoFluorescence (IHF) Method for Sub-Nuclear Protein Analysis in Tissue
inferred← citeshttps://doi.org/10.3390/math13030417openalex-snapshot
RMD-Net: A Deep Learning Framework for Automated IHC Scoring of Lung Cancer IL-24
inferred← citeshttps://doi.org/10.4103/jpi.jpi_65_17openalex-snapshot
A Review on the Applications of Crowdsourcing in Human Pathology
inferred← citeshttps://doi.org/10.48550/arxiv.1907.04179openalex-snapshot
Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System
inferred← citeshttps://doi.org/10.48550/arxiv.2111.10127openalex-snapshot
Neural Image Beauty Predictor Based on Bradley-Terry Model
inferred← citeshttps://doi.org/10.6084/m9.figshare.26655595openalex-snapshot
Additional file 1 of Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles
inferred← citeshttps://doi.org/10.6084/m9.figshare.26655598openalex-snapshot
Additional file 2 of Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles
inferred← citeshttps://doi.org/10.6084/m9.figshare.26655601openalex-snapshot
Additional file 3 of Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles
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