ArticleDiagnostics (Basel, Switzerland)2021
Deep Learning Analysis of In Vivo Hyperspectral Images for Automated Intraoperative Nerve Detection.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Hyperspectral Fingerprints of Abdominal and Pelvic Organs.Journal of imaging · 2026Article
- Hyperspectral imaging for orthopedic surgery: lightweight AI enables real-time bone and cartilage segmentation.Medical & biological engineering & computing · 2026Article
- Laparoscopic hyperspectral imaging for in vivo detection of the vagal nerve in upper gastrointestinal surgery.Surgical endoscopy · 2025Article
- Perineural invasion in pancreatic cancer: Current biological function in R status, prognosis, and pain.Surgery open science · 2025Article
- Polarimetric imaging of peripheral nerves: an intraoperative aid.Biomedical optics express · 2025Article
- Surgical optomics: hyperspectral imaging and deep learning towards precision intraoperative automatic tissue recognition-results from the EX-MACHYNA trial.Surgical endoscopy · 2024Article
- Spatial and Spectral Reconstruction of Breast Lumpectomy Hyperspectral Images.Sensors (Basel, Switzerland) · 2024Article
- Endoscopic Hyperspectral Imaging System to Discriminate Tissue Characteristics in Tissue Phantom and Orthotopic Mouse Pancreatic Tumor Model.Bioengineering (Basel, Switzerland) · 2024Article
- Nerve Detection and Visualization Using Hyperspectral Imaging for Surgical Guidance.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Computer image analysis with artificial intelligence: a practical introduction to convolutional neural networks for medical professionals.Postgraduate medical journal · 2023Review
- Spectral Similarity Measures for In Vivo Human Tissue Discrimination Based on Hyperspectral Imaging.Diagnostics (Basel, Switzerland) · 2023Article
- Deep Learning in Medical Hyperspectral Images: A Review.Sensors (Basel, Switzerland) · 2022Review
- Automatic optical biopsy for colorectal cancer using hyperspectral imaging and artificial neural networks.Surgical endoscopy · 2022Article
- Computer-Assisted Differentiation between Colon-Mesocolon and Retroperitoneum Using Hyperspectral Imaging (HSI) Technology.Diagnostics (Basel, Switzerland) · 2022Article
- Tumor cell identification and classification in esophageal adenocarcinoma specimens by hyperspectral imaging.Scientific reports · 2022Article
- Intraoperative Guidance Using Hyperspectral Imaging: A Review for Surgeons.Diagnostics (Basel, Switzerland) · 2021Review
- Prediction of In Vivo Laser-Induced Thermal Damage with Hyperspectral Imaging Using Deep Learning.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Nerves are critical structures that may be difficult to recognize during surgery. Inadvertent nerve injuries can have catastrophic consequences for the patient and lead to life-long pain and a reduced quality of life. Hyperspectral imaging (HSI) is a non-invasive technique combining photography with spectroscopy, allowing non-invasive intraoperative biological tissue property quantification. We show, for the first time, that HSI combined with deep learning allows nerves and other tissue types to be automatically recognized in in vivo hyperspectral images. An animal model was used, and eight anesthetized pigs underwent neck midline incisions, exposing several structures (nerve, artery, vein, muscle, fat, skin). State-of-the-art machine learning models were trained to recognize these tissue types in HSI data. The best model was a convolutional neural network (CNN), achieving an overall average sensitivity of 0.91 and a specificity of 1.0, validated with leave-one-patient-out cross-validation. For the nerve, the CNN achieved an average sensitivity of 0.76 and a specificity of 0.99. In conclusion, HSI combined with a CNN model is suitable for in vivo nerve recognition.
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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.