ArticleBiomedical optics express2019
Multimodal endoscopic system based on multispectral and photometric stereo imaging and analysis.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Deep multi-task learning framework for gastrointestinal lesion-aided diagnosis and severity estimation.Scientific reports · 2025Article
- Pose estimation via structure-depth information from monocular endoscopy images sequence.Biomedical optics express · 2024Article
- Optical Measurement of Ligament Strain: Opportunities and Limitations for Intraoperative Application.Sensors (Basel, Switzerland) · 2023Review
- Joint estimation of depth and motion from a monocular endoscopy image sequence using a multi-loss rebalancing network.Biomedical optics express · 2022Article
- Hyperspectral terahertz imaging and optical clearance for cancer classification in breast tumor surgical specimen.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Intelligent smartphone-based multimode imaging otoscope for the mobile diagnosis of otitis media.Biomedical optics express · 2021Article
- Automatic classification of esophageal disease in gastroscopic images using an efficient channel attention deep dense convolutional neural network.Biomedical optics express · 2021Article
- Optical imaging technology in colonoscopy: Is there a role for photometric stereo?World journal of gastrointestinal endoscopy · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose a multimodal endoscopic system based on white light (WL), multispectral (MS), and photometric stereo (PS) imaging for the examination of colorectal cancer (CRC). Recently, the enhancement of the diagnostic accuracy of CRC colonoscopy has been reported; however, tumor diagnosis for a variety of lesion types remains challenging using current endoscopy. In this study, we demonstrate that our developed system can simultaneously discriminate tumor distributions and provide three-dimensional (3D) morphological information about the colon surface using the WL, MS, and PS imaging modalities. The results demonstrate that the proposed system has considerable potential for CRC diagnosis.
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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 OpenQuestion graph.