Results 171 to 180 of about 2,642,787 (294)

Hyperspectral Imaging

, 2018
Anoop A. Krishnan, S.K. Saxena
  +5 more sources

The AMEE-PPI Method to Extract Typical Outcrop Endmembers from GF-5 Hyperspectral Images. [PDF]

Sensors (Basel)
Hu L, Hu J, Gan S, Yuan X, Lu Y, Zhao H, Han G.   +6 more
europepmc   +1 more source

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

Comparative Evaluation of the Effectiveness and Efficiency of Computational Methods in the Detection of Asbestos Cement in Hyperspectral Images. [PDF]

Materials (Basel)
Chanchí-Golondrino GE, Saba M, Ospina-Alarcón MA.   +2 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

Classification of maize seed hyperspectral images based on variable-depth convolutional kernels. [PDF]

Front Plant Sci
Hu Y, Zhang H, Li C, Su Q, Wang W.
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

Mixed convolutional classification method for hyperspectral images based on spatial spectrum orthogonal constraints and bidirectional attention mechanism. [PDF]

Sci Rep
Wu T, Tan Y.
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

Background Pixel Removal for Near-Infrared Hyperspectral Images Based on the Pixel-Wise Standard Deviation of Reflectance. [PDF]

Appl Spectrosc
Genkawa T, Ikehata A.
europepmc   +1 more source