ReviewMedical image analysis2020
Image computing for fibre-bundle endomicroscopy: A review.
Review in Medical image analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Research progress of confocal laser endomicroscopy in malignant respiratory diseases: A review.Medicine · 2026Review
- Application of confocal laser endomicroscopy in the diagnosis of peripheral pulmonary lesions: a narrative review.Journal of thoracic disease · 2026Review
- Image stitching for probe-based confocal laser endomicroscopy via a motion consistency constraint.Biomedical optics express · 2026Article
- Article
- Convergence of Multidimensional Sensing: A Review of AI-Enhanced Space-Division Multiplexing in Optical Fiber Sensors.Sensors (Basel, Switzerland) · 2026Review
- Probe-based confocal laser endomicroscopy: progress, challenges, and emerging applications.Surgical endoscopy · 2025Review
- A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.European journal of medical research · 2025Review
- Magnetically actuatable 3D-printed endoscopic microsystems.Communications engineering · 2025Article
- Polarimetry through a flexible imaging fiber bundle with a pixelated polarizer.Biomedical optics express · 2025Article
- Clinical application of confocal laser endomicroscopy in the diagnosis of malignant pleural effusion.Frontiers in oncology · 2025Article
- Motion Compensation in Pulmonary Fluorescence Lifetime Imaging: An Image Processing Pipeline for Artefact Reduction and Clinical Precision.IEEE open journal of engineering in medicine and biology · 2025Article
- Resolution-enhanced multi-core fiber imaging learned on a digital twin for cancer diagnosis.Neurophotonics · 2024Article
- Self-Supervised Joint Learning for pCLE Image Denoising.Sensors (Basel, Switzerland) · 2024Article
- Fiberbots: Robotic fibers for high-precision minimally invasive surgery.Science advances · 2024Article
- Deep learning-based anatomical position recognition for gastroscopic examination.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
- Unsupervised full-color cellular image reconstruction through disordered optical fiber.Light, science & applications · 2023Article
- The role of confocal laser endomicroscopy in pulmonary medicine.European respiratory review : an official journal of the European Respiratory Society · 2023Review
- Fiber Bundle Image Reconstruction Using Convolutional Neural Networks and Bundle Rotation in Endomicroscopy.Sensors (Basel, Switzerland) · 2023Article
- Honeycomb Artifact Removal Using Convolutional Neural Network for Fiber Bundle Imaging.Sensors (Basel, Switzerland) · 2022Article
- Effects of Image Processing Using Honeycomb-Removal and Image-Sharpening Algorithms on Visibility of 27-Gauge Endoscopic Vitrectomy.Journal of clinical medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Endomicroscopy is an emerging imaging modality, that facilitates the acquisition of in vivo, in situ optical biopsies, assisting diagnostic and potentially therapeutic interventions. While there is a diverse and constantly expanding range of commercial and experimental optical biopsy platforms available, fibre-bundle endomicroscopy is currently the most widely used platform and is approved for clinical use in a range of clinical indications. Miniaturised, flexible fibre-bundles, guided through the working channel of endoscopes, needles and catheters, enable high-resolution imaging across a variety of organ systems. Yet, the nature of image acquisition though a fibre-bundle gives rise to several inherent characteristics and limitations necessitating novel and effective image pre- and post-processing algorithms, ranging from image formation, enhancement and mosaicing to pathology detection and quantification. This paper introduces the underlying technology and most prevalent clinical applications of fibre-bundle endomicroscopy, and provides a comprehensive, up-to-date, review of relevant image reconstruction, analysis and understanding/inference methodologies. Furthermore, current limitations as well as future challenges and opportunities in fibre-bundle endomicroscopy computing are identified and discussed.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.