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Deep-learning-based image super-resolution of an end-expandable optical fiber probe for application in esophageal cancer diagnostics

Journal of Biomedical Optics(2024)10.1117/1.jbo.29.4.046001Source: DataRank Database

Deep-learning-based image super-resolution of an end-expandable optical fiber probe for application in esophageal cancer diagnostics is a research paper published in Journal of Biomedical Optics (2024). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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Enrichment:Funding (5 grants)Impact (FWCI 2.05)OA: goldTopics (55)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

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 (8)

Mimi C. Tan ORCID,Mansour Nabil,Richa Shukla,Shaleen Vasavada ORCID,Sharmila Anandasabapathy ORCID

Live enrichment

PubMed:38585417 PMC:PMC10993061 OpenAlex:https://openalex.org/W4393928487

NIDDK NIH HHS

Grant: K23 DK129776

NIBIB NIH HHS

Grant: P41 EB031772

NCI NIH HHS

Grant: R01 CA181275

National Institutes of Health

Grant: 5K23DK129776-02

Development and Validation of an Automated Algorithm for Real-time Detection of Neoplasia in Barrett's Esophagus using a Low-cost, Portable Microendoscope

National Institutes of Health

Grant: 5R01CA181275-08

AI-Assisted Microendoscopy for the Early Detection of Esophageal Cancer

FWCI

2.05

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics/volume-29/issue-4/046001/Deep-learning-based-image-super-resolution-of-an-end-expandable/10.1117/1.JBO.29.4.046001.pdf

publisherhttps://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics/volume-29/issue-4/046001/Deep-learning-based-image-super-resolution-of-an-end-expandable/10.1117/1.JBO.29.4.046001.pdf

journalhttps://doi.org/10.1117/1.jbo.29.4.046001

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38585417

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10993061

Fields of Study

Esophageal Cancer Research and TreatmentPhotodynamic Therapy Research StudiesOptical Imaging and Spectroscopy TechniquesHumansDeep LearningOptical FibersEsophageal NeoplasmsBarrett EsophagusImage Processing, Computer-Assisted

MeSH Terms

Deep LearningBarrett EsophagusEsophageal NeoplasmsHumansImage Processing, Computer-AssistedOptical Fibers

Keywords

Computer scienceOptical fiberDeep learningFiberArtificial intelligenceImage resolutionImage qualityResolution (logic)Biomedical engineeringMaterials scienceImage (mathematics)MedicineTelecommunicationsEsophageal cancerMicroendoscopyBarrett’s esophagusdegradation modelEndomicroscopyDeep-learning-based Super-resolutionEnd-expandable Optical Fiber ProbeMedical SciencesEsophageal NeoplasmsImage ProcessingDigestive System Diseases610DiseasesBiomedical InformaticsImagingBarrett EsophagusComputer-AssistedMedical SpecialtiesMedicine and Health SciencesImage Processing, Computer-AssistedFOS: Electrical engineering, electronic engineering, information engineeringHumansOptical FibersImage and Video Processing (eess.IV)GastroenterologyElectrical Engineering and Systems Science - Image and Video ProcessingOncology

Sustainable Development Goals

SDG 0: Quality Education

Deep-learning-based image super-resolution of an end-expandable optical fiber probe for application in esophageal cancer diagnostics

FAIR Checklist

Authors (8)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)