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Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network

PubMed(2022)10.1109/cbms55023.2022.00064Source: DataRank Database

Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network is a research paper published in PubMed (2022). On theSindex it has a DataRank of 0. It has been cited 21 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access21 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 11.45)OA: greenTopics (25)IDs (PubMed, OpenAlex)SDGs (2)

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 (4)

Nikhil Kumar Tomar,Ulaş Bağcı ORCID,Debesh Jha ORCID,Abhishek Srivastava ORCID

Live enrichment

PubMed:36777397 OpenAlex:https://openalex.org/W4293812401

NIH

Grant: R01-CA246704,R01-CA240639

National Institutes of Health

Grant: 5R01CA246704-04

Cyst-X: Interpretable Deep Learning Based Risk Stratification of Pancreatic Cystic Tumors

National Institutes of Health

Grant: 5R01CA240639-03

Radiologist-Centered Artificial Intelligence (RCAI) for Lung Cancer Screening and Diagnosis

NCI NIH HHS

Grant: R01 CA240639

NCI NIH HHS

Grant: R01 CA246704

FWCI

11.45

Citation Percentile

1.0%

Citation Trend

2022

2023

2024

2025

greenLicense: STM Policy #29

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9914988

publisherhttp://xplorestaging.ieee.org/ielx7/9866947/9866899/09867140.pdf?arnumber=9867140

https://doi.org/10.1109/cbms55023.2022.00064

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36777397

Fields of Study

Gastrointestinal Bleeding Diagnosis and TreatmentColorectal Cancer Screening and Detection0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceConvolutional neural networkCapsule endoscopyArtificial intelligenceContext (archaeology)Deep learningBlock (permutation group theory)Pattern recognition (psychology)Computer visionRadiologyMedicineFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video ProcessingKvasir-CapsuleVideo capsule endoscopygastrointestinal image classificationsmall intestine

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Partnerships for the goals