ArticleLasers in medical science2021
Multimodal imaging with integrated auto-fluorescence and optical coherence tomography for identification of neck tissues.
Article in Lasers in medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Optical coherence tomography for broad spectrum of thyroid carcinoma: a qualitative and quantitative analysis.Biomedical engineering letters · 2026Article
- Multimodal strategies for diagnosing and treating thyroid cancer: Advances in basic and clinical research.Translational oncology · 2026Review
- Autofluorescence and deep learning in early disease detection: biological foundations, clinical applications, and future directions.Frontiers in artificial intelligence · 2026Review
- Classification of neck tissues in OCT images by using convolutional neural network.Lasers in medical science · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
We report a multimodal optical system by combining OCT with autofluorescence imaging for identifying neck tissues, which can use the advantages of large field of view and high sensitivity for identifying parathyroid glands of fluorescence imaging, and high-resolution structural imaging of OCT to confirm them and identify lymph nodes and metastatic lymph nodes at the same time. It is proven that this multimodal optical system can be used to identify different neck tissues effectively and efficiently. We think that integrated auto-fluorescence and OCT imaging have the great potential in the application of navigation and assistant diagnosis of thyroid surgery.
Indexed as
Identifiers
32895854What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.