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PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling

Archive ouverte UNIGE (University of Geneva)(2023)10.48550/arxiv.2307.07528Source: DataRank Database

PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling is a research paper published in Archive ouverte UNIGE (University of Geneva) (2023). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (15 grants)Impact (FWCI 0.00)OA: greenTopics (41)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (14)

Tasneem Talawalla,Róbert Tóth ORCID,Akhil Ambekar ORCID,Kien Rea,Oswin Chamian

Live enrichment

PubMed:19022398 OpenAlex:https://openalex.org/W4384652169

National Institutes of Health

Grant: 5UM1DK100876-06

Advancing Clinical Research in Primary Glomerular Diseases (UM1)

National Institutes of Health

Grant: 3U01DK133090-04S1

KPMP Kidney Mapping and Atlas Project (KMAP)

European Commission

Grant: 883877

Targeting the essentialome of radiotherapy-resistant cancer

National Institutes of Health

Grant: 2U54DK083912-06

Nephrotic Syndrome Rare Disease Clinical Research Network

National Institutes of Health

Grant: 5U24DK100845-08

CureGN

National Institutes of Health

Grant: 5U01DK100867-13

CureGN-3: UNCPCC

National Institutes of Health

Grant: 5U01CA248226-03

RadxTools for assessing tumor treatment response on imaging

National Institutes of Health

Grant: 5U2CTR002818-03

Data Management and Coordinating Center: Rare Diseases Clinical Research Network

National Institutes of Health

Grant: 5UM1DK100867-06

GDCN Clinical Center-Advancing Clinical Research in Primary Glomerular Diseases

National Institutes of Health

Grant: 5U01DK100876-11

The Columbia PCC for CureGN: the Cure Glomerulonephropathy network

National Institutes of Health

Grant: 2U01DK100866-07

CUREGN 2.0 - Midwest Pediatric Nephrology Consortium - PCC

National Institutes of Health

Grant: 2R01DK118431-04

Computational Pathology of Proteinuric Diseases

National Institutes of Health

Grant: 5U01DK100846-13

CureGN-Penn PCC

National Institutes of Health

Grant: 5U01CA239055-02

HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identification

National Institutes of Health

Grant: 5R01LM013864-02

Histotools: scaling digital pathology curation tools for quality control, annotation, labeling, and dataset identification

FWCI

0.00

Citation Percentile

0.1%

greenLicense: other-oa

repositoryhttps://archive-ouverte.unige.ch/unige:182884

repositoryhttp://arxiv.org/abs/2307.07528

repositoryhttps://boris-portal.unibe.ch/handle/20.500.12422/178292

repositoryhttps://boris.unibe.ch/197981/

repositoryhttps://doi.org/10.48550/arxiv.2307.07528

Fields of Study

AI in cancer detectionDigital Imaging for Blood DiseasesCell Image Analysis TechniquesQuantitative Methods (q-bio.QM)Artificial Intelligence (cs.AI)Computer Vision and Pattern Recognition (cs.CV)Human-Computer Interaction (cs.HC)Image and Video Processing (eess.IV)FOS: Biological sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Digital pathologyComputer scienceDeep learningThroughputObject (grammar)Artificial intelligenceInterface (matter)Open sourceOperating systemSoftwareFOS: Computer and information sciencesComputer Science - Artificial IntelligenceComputer Vision and Pattern Recognition (cs.CV)Computer applications to medicine. Medical informaticsImage and Video Processing (eess.IV)R858-859.7Computer Science - Computer Vision and Pattern RecognitionComputer Science - Human-Computer Interaction616.07Electrical Engineering and Systems Science - Image and Video ProcessingBrief CommunicationQuantitative Biology - Quantitative MethodsHuman-Computer Interaction (cs.HC)Artificial Intelligence (cs.AI)FOS: Biological sciences616FOS: Electrical engineering, electronic engineering, information engineeringQuantitative Methods (q-bio.QM)