Results 71 to 80 of about 1,806,074 (180)

A clinically translatable hyperspectral endoscopy (HySE) system for imaging the gastrointestinal tract

open access: yesNature Communications, 2019
Hyperspectral imaging (HSI) enables recording both morphological and biochemical information, but image acquisition time and geometric distortions limit its clinical applicability.
Jonghee Yoon   +8 more
doaj   +1 more source

Use of infrared hyperspectral imaging as an aid for paint identification

open access: yesJournal of Spectral Imaging, 2016
Art authentication is a complicated process that often requires the extensive study of high value objects. Although a series of non-destructive techniques is already available for art scientists, new techniques, extending current possibilities, are still
A. Polak   +6 more
doaj   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang   +12 more
wiley   +1 more source

Efficient Lossless Compression of Multitemporal Hyperspectral Image Data

open access: yesJournal of Imaging, 2018
Hyperspectral imaging (HSI) technology has been used for various remote sensing applications due to its excellent capability of monitoring regions-of-interest over a period of time.
Hongda Shen   +2 more
doaj   +1 more source

Determination of dry bean physiological maturity from UAS RGB time series using a stacking ensemble of color‐derived spectral features

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Evaluating physiological maturity is an important trait in dry bean breeding (Phaseolus vulgaris L.), but field scoring can be inaccurate, subjective, and a persistent bottleneck in multi‐environment trials. To address this, we developed a low‐cost, high‐throughput pipeline that predicts plot‐level days after planting at maturity from time ...
Aliasghar Bazrafkan   +4 more
wiley   +1 more source

Image stitching for real-time laparoscopic hyperspectral imaging

open access: yesScientific Reports
Hyperspectral imaging (HSI) shows significant promise in the medical field for tissue detection and perfusion assessment. To extend its application to intraoperative diagnosis, laparoscopic cameras combining a high resolution color video and simultaneous
Marie-Sophie von Braun   +4 more
doaj   +1 more source

Modern Trends and Recent Applications of Hyperspectral Imaging: A Review

open access: yesTechnologies
Hyperspectral imaging (HSI) is an advanced imaging technique that captures detailed spectral information across multiple fields. This review explores its applications in counterfeit detection, remote sensing, agriculture, medical imaging, cancer ...
Ming-Fang Cheng   +5 more
doaj   +1 more source

NIRS Coupled With Machine Learning Algorithms for the Authentication and Quality Assessment of Indigenous Cattle and Buffalo Meat

open access: yeseFood, Volume 7, Issue 5, October 2026.
Portable NIRS combined with machine learning enabled rapid and accurate authentication of cattle and buffalo meat. Optimized models (XGBoost, CNN) achieved > 98% accuracy, while SHAP revealed key spectral regions. This dual approach offers a field‐ready, reagent‐free tool for fraud prevention and traceability. ABSTRACT Ensuring the authenticity of high‐
Dip Ghosh, Raad Al Deen, Md. Abul Hashem
wiley   +1 more source

Hyperspectral Imaging (HSI) of Human Kidney Allografts

open access: yes, 2021
Zusammenfassung der Arbeit /Dissertation zur Erlangung des akademischen Grades Dr. med. Hyperspectral Imaging (HSI) of Human Kidney Allografts Die HSI Bildgebung ist ein nichtinvasives Instrument zur quantitativen Bewertung der Sauerstoffanreicherung parenchymatöser Organe, der Mikroperfusion von Transplantaten sowie zur Messung der Hämoglobin- und ...
openaire   +1 more source

Optimized Stacking Ensemble Machine Learning for Nondestructive Toxicological Risk Assessment of Fish Meat Using Hyperspectral Imaging

open access: yesJournal of Food Safety, Volume 46, Issue 5, October 2026.
Hyperspectral imaging and an optimized stacking ensemble learning model are developed for rapid, nondestructive toxicological assessment of fish meat. This framework integrated multiple machine learning classifiers to accurately distinguish toxicologically contaminated fish from fresh samples using both reduced (25‐band) and full (224‐band) spectral ...
Muhammad Aqeel   +5 more
wiley   +1 more source

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