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Assessment of hyperspectral imaging and CycleGAN-simulated narrowband techniques to detect early esophageal cancer.

Yang KY, Mukundan A, Tsao YM, Shi XH, Huang CW, Wang HC. · Scientific reports · 2023 · Journal publication

Original publication · Original publication · Original publication

Recorded summary

The study compares white-light, narrowband and reconstructed endoscopic images in an esophageal-cancer image dataset using colour-difference, entropy and structural-similarity measures.

Recorded limitations

Image-quality comparisons do not by themselves establish prospective patient-level diagnostic accuracy. The setting is endoscopy, with distinct acquisition and validation requirements.

Evidence and provenance

Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.

Study design and assessment
design
Journal publication
assessment
Not recorded
trust Factor
scope
Paper
status
unassessed
score
Not recorded
basis
Bibliographic identity checks do not establish study design, blinding or evidential strength.
jadad
status
unassessed
score
Not recorded
evidence
Not recorded
Topics and recorded topic scores
  1. key
    general:optical-physiology
    title
    Optical Physiology and Tissue Imaging
    collection
    general
    trust Score
    Not recorded
Citation snapshot and identifiers
id
hsi-30eaacfb450209
doi
10.1038/s41598-023-47833-y
pmid
37993660
citation Snapshot
Not recorded
citations By Collection
general
Not recorded
Complete approved library record
id
hsi-30eaacfb450209
aliases
None recorded
source References
  1. ref
    NPL-221
    record Id
    hsi-30eaacfb450209
    source Type
    Journal publication
    title
    Assessment of hyperspectral imaging and CycleGAN-simulated narrowband techniques to detect early esophageal cancer.
    authors
    Yang KY, Mukundan A, Tsao YM, Shi XH, Huang CW, Wang HC.
    year
    2023
    journal
    Scientific reports
    doi
    10.1038/s41598-023-47833-y
    pmid
    37993660
    pmcid
    PMC10665456
    patent Number
    Not recorded
    original Assignee
    Not recorded
    original Citation
    Yang TH, Cheng YW, Wang YT, Huang TW, Kang CW, Pan CT, Kuo HY, Chung CH, Chen CC, Liao YS (2023). "Assessment of hyperspectral imaging and CycleGAN-simulated narrowband techniques to detect early esophageal cancer." Scientific Reports (Nature) 13:20502. DOI: 10.1038/s41598-023-47833-y — SAVE HSI engine (Hitspectra Intelligent Technology, Kaohsiung, Taiwan) reconstructing hyperspectral imaging from standard RGB endoscopic video; CycleGAN narrowband imaging simulation; real-time ~25 fps; clinically superior early esophageal cancer inference vs conventional white-light imaging; validates HSI reconstruction from standard cameras for medical tissue inference in peer-reviewed clinical context
    original Section
    Hyperspectral Imaging via Smartphone
    metadata Status
    metadata-matched
    claim Review
    Not independently appraised
    source URL
    https://www.notion.so/3807b9c99c5680599be7d8337c817b15
    publication URL
    https://pubmed.ncbi.nlm.nih.gov/37993660/
    metadata URL
    https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1038%2Fs41598-023-47833-y%22&format=json&resultType=core&pageSize=4
    corrections
    None recorded
    topic Id
    optical-physiology
    role
    Focused chapter source
source Type
Journal publication
source Verification
Bibliographic metadata matched; scientific claims await appraisal.
source Collection
Hyperspectral Imaging · patent section 2.4
title
Assessment of hyperspectral imaging and CycleGAN-simulated narrowband techniques to detect early esophageal cancer.
journal
Scientific reports
neurotransmitters
None recorded
year
2023
authors
Yang KY, Mukundan A, Tsao YM, Shi XH, Huang CW, Wang HC.
design
Journal publication
kind
Journal publication
identity Conflict
Not recorded
doi
10.1038/s41598-023-47833-y
pmid
37993660
urls

https://pubmed.ncbi.nlm.nih.gov/37993660/ · https://doi.org/10.1038/s41598-023-47833-y · https://pmc.ncbi.nlm.nih.gov/articles/PMC10665456/

collections

general

categories

Hyperspectral Imaging

targets
None recorded
priority
1
quotes
None recorded
summary
The study compares white-light, narrowband and reconstructed endoscopic images in an esophageal-cancer image dataset using colour-difference, entropy and structural-similarity measures.
limitation
Image-quality comparisons do not by themselves establish prospective patient-level diagnostic accuracy. The setting is endoscopy, with distinct acquisition and validation requirements.
citation Count
Not recorded
paper Trust Assessment
scope
Paper
status
unassessed
score
Not recorded
basis
Bibliographic identity checks do not establish study design, blinding or evidential strength.
citations By Collection
general
Not recorded
topics
  1. key
    general:optical-physiology
    title
    Optical Physiology and Tissue Imaging
    collection
    general
    trust Score
    Not recorded
journal Key
scientificreports
journal Label
Scientific reports
chapter Entries
  1. id
    general-optical-physiology-hsi-30eaacfb450209
    record Id
    hsi-30eaacfb450209
    title
    Assessment of hyperspectral imaging and CycleGAN-simulated narrowband techniques to detect early esophageal cancer.
    journal
    Scientific reports
    year
    2023
    authors
    Yang KY, Mukundan A, Tsao YM, Shi XH, Huang CW, Wang HC.
    design
    Journal publication
    urls

    https://pubmed.ncbi.nlm.nih.gov/37993660/ · https://doi.org/10.1038/s41598-023-47833-y · https://pmc.ncbi.nlm.nih.gov/articles/PMC10665456/

    quotes
    None recorded
    summary
    The study compares white-light, narrowband and reconstructed endoscopic images in an esophageal-cancer image dataset using colour-difference, entropy and structural-similarity measures.
    related Versions
    None recorded
    limitation
    Image-quality comparisons do not by themselves establish prospective patient-level diagnostic accuracy. The setting is endoscopy, with distinct acquisition and validation requirements.
    citation Count
    Not recorded
    source Pages
    None recorded
    doi
    10.1038/s41598-023-47833-y
    pmid
    37993660
    targets
    None recorded
    categories

    Hyperspectral Imaging

    source References
    1. ref
      NPL-221
      record Id
      hsi-30eaacfb450209
      source Type
      Journal publication
      title
      Assessment of hyperspectral imaging and CycleGAN-simulated narrowband techniques to detect early esophageal cancer.
      authors
      Yang KY, Mukundan A, Tsao YM, Shi XH, Huang CW, Wang HC.
      year
      2023
      journal
      Scientific reports
      doi
      10.1038/s41598-023-47833-y
      pmid
      37993660
      pmcid
      PMC10665456
      patent Number
      Not recorded
      original Assignee
      Not recorded
      original Citation
      Yang TH, Cheng YW, Wang YT, Huang TW, Kang CW, Pan CT, Kuo HY, Chung CH, Chen CC, Liao YS (2023). "Assessment of hyperspectral imaging and CycleGAN-simulated narrowband techniques to detect early esophageal cancer." Scientific Reports (Nature) 13:20502. DOI: 10.1038/s41598-023-47833-y — SAVE HSI engine (Hitspectra Intelligent Technology, Kaohsiung, Taiwan) reconstructing hyperspectral imaging from standard RGB endoscopic video; CycleGAN narrowband imaging simulation; real-time ~25 fps; clinically superior early esophageal cancer inference vs conventional white-light imaging; validates HSI reconstruction from standard cameras for medical tissue inference in peer-reviewed clinical context
      original Section
      Hyperspectral Imaging via Smartphone
      metadata Status
      metadata-matched
      claim Review
      Not independently appraised
      source URL
      https://www.notion.so/3807b9c99c5680599be7d8337c817b15
      publication URL
      https://pubmed.ncbi.nlm.nih.gov/37993660/
      metadata URL
      https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1038%2Fs41598-023-47833-y%22&format=json&resultType=core&pageSize=4
      corrections
      None recorded
      topic Id
      optical-physiology
      role
      Focused chapter source
    source Type
    Journal publication
    source Verification
    Bibliographic metadata matched; scientific claims await appraisal.
    collection
    general
    chapter Number
    11
    topic Id
    optical-physiology
    topic Title
    Optical Physiology and Tissue Imaging
    trust Score
    Not recorded
    paper Trust Assessment
    scope
    Paper
    status
    unassessed
    score
    Not recorded
    basis
    Bibliographic identity checks do not establish study design, blinding or evidential strength.
jadad
status
unassessed
score
Not recorded
condition Evidence
None recorded
conditions
None recorded
topic Trust Scores
None recorded
full Text
status
not-indexed
retrieval Available
false

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