ArticleScientific reports2024
Spectrum aided vision enhancer enhances mucosal visualization by hyperspectral imaging in capsule endoscopy.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Article
- Hyperspectral reconstruction of white light endoscopy images for enhanced segmentation of early esophageal lesions in patients.iScience · 2026Article
- Advances in the treatment of postoperative anastomotic strictures in esophageal cancer a comparative analysis of the efficacy of endoscopic versus interventional dilatation.Langenbeck's archives of surgery · 2026Review
- Advances and Opportunities in NIR-II Endoscopy: From Diagnosis to Therapeutic Applications.Diagnostics (Basel, Switzerland) · 2026Review
- Recent technological advances in video capsule endoscopy: a comprehensive review.Clinical endoscopy · 2026Review
- DGCNet: a clinical knowledge-driven model for the segmentation of reflux esophagitis in endoscopic images.Gastroenterology report · 2026Article
- Visualization-driven digital technologies in oncology: current applications, technological advances, and future directions.Frontiers in oncology · 2026Review
- Comparison of the diagnostic value of white light endoscopic, narrow band imaging, and iodine staining individually and in combination for early esophageal cancer and precancerous lesions.Frontiers in oncology · 2026Article
- Emulating Hyperspectral and Narrow-Band Imaging for Deep-Learning-Driven Gastrointestinal Disorder Detection in Wireless Capsule Endoscopy.Bioengineering (Basel, Switzerland) · 2025Article
- Enhancing Early GI Disease Detection with Spectral Visualization and Deep Learning.Bioengineering (Basel, Switzerland) · 2025Article
- Deep learning-based single-shot computational spectrometer using multilayer thin films.Scientific reports · 2025Article
- Software-Based Transformation of White Light Endoscopy Images to Hyperspectral Images for Improved Gastrointestinal Disease Detection.Diagnostics (Basel, Switzerland) · 2025Article
- Self-supervised learning framework for efficient classification of endoscopic images using pretext tasks.PloS one · 2025Article
- Recent advance in early oral lesion diagnosis: the application of artificial intelligence-assisted endoscopy.Frontiers in oncology · 2025Review
- Advancing artificial intelligence applicability in endoscopy through source-agnostic camera signal extraction from endoscopic images.PloS one · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
Narrow-band imaging (NBI) is more efficient in detecting early gastrointestinal cancer than white light imaging (WLI). NBI technology is available only in conventional endoscopy, but unavailable in magnetic-assisted capsule endoscopy (MACE) systems due to MACE's small size and obstacles in image processing issues. MACE is an easy, safe, and convenient tool for both patients and physicians to avoid the disadvantages of conventional endoscopy. Enabling NBI technology in MACE is mandatory. We developed a novel method to improve mucosal visualization using hyperspectral imaging (HSI) known as Spectrum Aided Visual Enhancer (SAVE, Transfer N, Hitspectra Intelligent Technology Co., Kaohsiung, Taiwan). The technique was developed by converting the WLI image captured by MACE to enhance SAVE images. The structural similarity index metric (SSIM) between the WLI MACE images and the enhanced SAVE images was 91%, while the entropy difference between the WLI MACE images and the enhanced SAVE images was only 0.47%. SAVE algorithm can identify the mucosal break on the esophagogastric junction in patients with gastroesophageal reflux disorder. We successfully developed a novel image-enhancing technique, SAVE, in the MACE system, showing close similarity to the NBI from the conventional endoscopy system. The future application of this novel technology in the MACE system can be promising.
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