ArticleJournal of medical imaging (Bellingham, Wash.)2017
Tissue classification for laparoscopic image understanding based on multispectral texture analysis.
Article in Journal of medical imaging (Bellingham, Wash.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04712214 (Use of Non-invasive Optical Analysis in Neurosurgery - A Pilot Study), which is not on this map. Cited by 11 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.
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.
Use of Non-invasive Optical Analysis in Neurosurgery - A Pilot Study
Who cites it
11 citing papers in PubMed.
- Perspective on the current state of hyperspectral/multispectral imaging for minimally invasive surgery.Journal of biomedical optics · 2026Review
- Vision techniques for anatomical structures in laparoscopic surgery: a comprehensive review.Frontiers in surgery · 2025Review
- Compact and ultracompact spectral imagers: technology and applications in biomedical imaging.Journal of biomedical optics · 2023Review
- Computer-Aided Diagnosis by Tissue Image Analysis as an Optical Biopsy in Hysteroscopy.International journal of molecular sciences · 2022Review
- Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model.Scientific reports · 2022Article
- Is Computer-Assisted Tissue Image Analysis the Future in Minimally Invasive Surgery? A Review on the Current Status of Its Applications.Journal of clinical medicine · 2021Review
- Laparoscopic system for simultaneous high-resolution video and rapid hyperspectral imaging in the visible and near-infrared spectral range.Journal of biomedical optics · 2020Article
- Surgical spectral imaging.Medical image analysis · 2020Review
- Computer-assisted liver graft steatosis assessment via learning-based texture analysis.International journal of computer assisted radiology and surgery · 2018Article
- Confident texture-based laryngeal tissue classification for early stage diagnosis support.Journal of medical imaging (Bellingham, Wash.) · 2017Article
- Tissue classification for laparoscopic image understanding based on multispectral texture analysis.Journal of medical imaging (Bellingham, Wash.) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intraoperative tissue classification is one of the prerequisites for providing context-aware visualization in computer-assisted minimally invasive surgeries. As many anatomical structures are difficult to differentiate in conventional RGB medical images, we propose a classification method based on multispectral image patches. In a comprehensive
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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.