Results 171 to 180 of about 11,302,780 (290)

What Are Computer‐Assisted Methods Achieving in Fine‐Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta‐Analysis

Cytopathology, EarlyView.
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

Multi-Scale Semantic Selection and Spatial Constraint-Guided Network for Cross-Scene Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Tang Y, Sun Y, Teng X, Yang C, Xie R, Guan X, Yu X.   +6 more
europepmc   +1 more source

Biofluorescence in polar zoarcid eelpouts: The Arctic eelpout Lycodes reticulatus (Reinhardt, 1835) and the Antarctic eelpout Pachycara brachycephalum (Pappenheim, 1912)

Journal of Fish Biology, EarlyView.
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, Matthew Slater, Amirhossein Karamyar, Stein‐Kato Lindberg   +3 more
wiley   +1 more source

A multiscale transformer with spatial attention for hyperspectral image classification. [PDF]

Sci Rep
Ahmad I, Farooque G, Hadi F, Khader A, Abdelwahab Ghorashi S, Ahmed A, Alabdulkreem E.   +6 more
europepmc   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

Hyperspectral image classification network based on multiscale spatial-spectral fusion and semantic enhancement encoder. [PDF]

Sci Rep
Yu J, Tang B, Zha C, Jiang N, Liu R, Zeng T, Ye Z, Feng F, Zhuang C.   +8 more
europepmc   +1 more source

When biology meets materials science – Interdisciplinary applications of electron microscopy

Journal of Microscopy, EarlyView.
Abstract Research at the interface between biology and materials science creates challenges for electron microscopists. Everything from the sample preparation to the choice of imaging and analytical techniques and the interpretation of the resulting data refuses to sit comfortably within the domain of one discipline or the other.
Martin Saunders, Peta L. Clode, Enoch V. S. Wong, Anna‐Lee Jessop, Gerd E. Shröder‐Turk, Felix de Tombeur   +5 more
wiley   +1 more source

Design and Development of an Automated Pipeline for Medical Hyperspectral Image Acquisition, Processing, and Fusion. [PDF]

J Imaging
Wühler F, Häußermann TM, Rache A, van Marwick B, Wängler C, Reichwald J, Rädle M.   +6 more
europepmc   +1 more source

Hyperspectral tomographic diffractive microscopy: Development and applications

Journal of Microscopy, EarlyView.
Abstract Tomographic Diffractive Microscopy (TDM) provides label‐free three‐dimensional imaging of transparent samples with resolution surpassing confocal limits. At IRIMAS, successive instrumental developments since 2009 have enhanced TDM capabilities through transmission, reflection, isotropic, polarisation‐sensitive, and dual‐view configurations ...
Leonardo Pestana Legori, Carlos Alberto Chacón Ávila, Matthieu Debailleul, Nicolas Verrier, Olivier Haeberlé   +4 more
wiley   +1 more source

HL-Mamba: A High-Low Frequency Interaction Mamba Network for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Teng Y, Gan S, Yuan X.
europepmc   +1 more source