ReviewSensors (Basel, Switzerland)2022
Deep Learning in Medical Hyperspectral Images: A Review.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Emerging non-invasive tools for hair follicle assessment: a narrative review on hyperspectral and terahertz imaging.Lasers in medical science · 2026Review
- Automated Individual-Level ROI-to-Spectrum Extraction for Hyperspectral Analysis in Forensic Entomology.Insects · 2026Article
- Portable Multispectral Optoelectronic System for Thyroid Cancer Detection.Sensors (Basel, Switzerland) · 2026Article
- High-efficacy and affordable hyperspectral pancreatic tissue image analysis using near-infrared spectroscopy.Journal of pathology informatics · 2026Article
- Age Prediction of Hematoma from Hyperspectral Images Using Convolutional Neural Networks.Journal of imaging · 2026Article
- Design and Demonstration of Compact and Lightweight Imaging Spectrometer Based on Schwarzschild Reflector Systems Using Commercial Off-the-Shelf Optics.Sensors (Basel, Switzerland) · 2025Article
- Dual-band spectral filter array integrated with a telecentric lens for real-time surface plasmon resonance sensing and imaging.Nanophotonics (Berlin, Germany) · 2025Article
- Hyperspectral and machine-learning-based classification of ischemic intestinal tissue.Journal of biomedical optics · 2025Article
- Enhancing Oral Health Diagnostics With Hyperspectral Imaging and Computer Vision: Clinical Dataset Study.JMIR medical informatics · 2025Article
- AI-Driven Advances in Parkinson's Disease Neurosurgery: Enhancing Patient Selection, Trial Efficiency, and Therapeutic Outcomes.Brain sciences · 2025Review
- Detection of flap malperfusion after microsurgical tissue reconstruction using hyperspectral imaging and machine learning.Scientific reports · 2025Article
- Research on a Burn Severity Detection Method Based on Hyperspectral Imaging.Sensors (Basel, Switzerland) · 2025Article
- Noninvasive Oral Hyperspectral Imaging-Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study.Journal of medical Internet research · 2025Article
- Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2025Article
- Advancing hyperspectral imaging and machine learning tools toward clinical adoption in tissue diagnostics: A comprehensive review.APL bioengineering · 2024Review
- RGB to hyperspectral: Spectral reconstruction for enhanced surgical imaging.Healthcare technology letters · 2024Article
- Advancements in Hyperspectral Imaging and Computer-Aided Diagnostic Methods for the Enhanced Detection and Diagnosis of Head and Neck Cancer.Biomedicines · 2024Review
- Hyperspectral retinal imaging in Alzheimer's disease and age-related macular degeneration: a review.Acta neuropathologica communications · 2024Review
- Spectral library and method for sparse unmixing of hyperspectral images in fluorescence guided resection of brain tumors.Biomedical optics express · 2024Article
- Spectral characterization of intraoperative renal perfusion using hyperspectral imaging and artificial intelligence.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
With the continuous progress of development, deep learning has made good progress in the analysis and recognition of images, which has also triggered some researchers to explore the area of combining deep learning with hyperspectral medical images and achieve some progress. This paper introduces the principles and techniques of hyperspectral imaging systems, summarizes the common medical hyperspectral imaging systems, and summarizes the progress of some emerging spectral imaging systems through analyzing the literature. In particular, this article introduces the more frequently used medical hyperspectral images and the pre-processing techniques of the spectra, and in other sections, it discusses the main developments of medical hyperspectral combined with deep learning for disease diagnosis. On the basis of the previous review, tne limited factors in the study on the application of deep learning to hyperspectral medical images are outlined, promising research directions are summarized, and the future research prospects are provided for subsequent scholars.
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.