Results 131 to 140 of about 17,773 (259)
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley +1 more source
A Comprehensive Hyperspectral Image Dataset for Forest Fire Detection and Classification. [PDF]
Mani A +10 more
europepmc +1 more source
This preliminary study attempted to characterize solar lentigines and post‐inflammatory hyperpigmentation (PIH) observed on Japanese women. Colorimetric features and chromophore concentrations were measured using hyperspectral imaging for each hyperpigmentation type.
Victor Egana +4 more
wiley +1 more source
Explainable artificial-intelligence-based hyperspectral image analysis for leaf disease detection in intercropping system. [PDF]
Malik V +5 more
europepmc +1 more source
Abstract Biofluorescence is widespread among marine fish but remains poorly documented in polar ecosystems. Using hyperspectral imaging, we report fluorescent emissions in two polar zoarcid eelpouts. A captive Antarctic eelpout (Pachycara brachycephalum) displayed uniform bright green fluorescence (~500–520 nm), whereas an Arctic eelpout (Lycodes ...
Thomas Juhasz‐Dora +3 more
wiley +1 more source
Hyperspectral image analysis for classification of multiple infections in wheat. [PDF]
Chossegros M +5 more
europepmc +1 more source
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu +4 more
wiley +1 more source
Comparative Assessment of Hyperspectral Image Segmentation Algorithms for Fruit Defect Detection Under Different Illumination Conditions. [PDF]
Zolotukhina A +3 more
europepmc +1 more source
This review covers recent progress in the understanding of stress‐responsive regulatory networks in soybean and highlights emerging genomic and breeding strategies. Integrating molecular insights and precision breeding will help to accelerate the development of climate‐resilient soybean cultivars.
Ali Shahzad +8 more
wiley +1 more source
HSICNet a novel deep learning architecture for hyperspectral image classification in remote sensing and environmental monitoring. [PDF]
Purnachand K +5 more
europepmc +1 more source

