Results 91 to 100 of about 1,605,385 (193)

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

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

Nonlinear unmixing of hyperspectral images: Models and algorithms [PDF]

, 2013
When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM).
McLaughlin, Stephen; id_orcid, Hero, Alfred O, Jean-yves Tourneret, Cédric Richard, Hero, Alfred O., Dobigeon, Nicolas, McLaughlin, Steve, Bermudez, José Carlos M., Alfred O. Hero, Stephen Mclaughlin, Bermudez, José Carlos Moreira, Nicolas Dobigeon, Richard, Cédric, Tourneret, Jean-Yves, José Carlos M. Bermudez, Bermudez, José Carlos M   +14 more
core   +1 more source

A novel method based on high‐resolution imaging spectroscopy to predict fine‐root traits and the economics space of fresh tree roots

New Phytologist, EarlyView.
Maps of the estimated root nitrogen concentration in the < 0.5‐mm‐diameter classes of 20 woody species based on the imaging spectroscopy using the shortwave infrared spectral region. Summary Tree fine‐root morphological, anatomical, and chemical traits are important to reflect belowground resource acquisition strategies to support tree growth, but ...
Naoki Makita, Natsuko Tanikawa, Tatsuro Nakaji   +2 more
wiley   +1 more source

Spatial-Spectral-Emissivity Land-Cover Classification Fusing Visible and Thermal Infrared Hyperspectral Imagery

Remote Sensing, 2017
High-resolution visible remote sensing imagery and thermal infrared hyperspectral imagery are potential data sources for land-cover classification. In this paper, in order to make full use of these two types of imagery, a spatial-spectral-emissivity land-
Yanfei Zhong, Tianyi Jia, Ji Zhao, Xinyu Wang, Shuying Jin   +4 more
doaj   +1 more source

Object identification and characterization with hyperspectral imagery to identify structure and function of Natura 2000 habitats [PDF]

, 2010
Habitat monitoring of designated areas under the EU Habitats Directive requires every 6 years information on area, range, structure and function for the protected (Annex I) habitat types.
Spanhove, T., Haest, B., Schmidt, A., Kooistra, L., Mücher, C.A., Vanden Borre, J., Vermeulen, M., Delalieux, S.   +7 more
core  

Guiding the AI revolution in periodontology and implant dentistry: Concepts, ethics, accountability, and a roadmap for sustainable adoption

Periodontology 2000, EarlyView.
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali, Negin Soghli, Patricia A. Miguez   +2 more
wiley   +1 more source

A semi-analytical approach for estimating inland water inherent optical properties and chlorophyll a using airborne hyperspectral imagery

International Journal of Applied Earth Observations and Geoinformation
The inversion of inherent optical properties (IOPs) and chlorophyll a (Chla) is one of the key objectives in water color remote sensing, and hyperspectral remote sensing with rich spectral information makes precise inversion possible.
Chao Niu, Kun Tan, Xue Wang, Peijun Du, Chen Pan   +4 more
doaj   +1 more source

Development of a new spectral library classifier for airborne hyperspectral images on heterogeneous environments [PDF]

, 2011
The classification of hyperspectral images on heterogeneous environments without prior knowledge about the study area is a challenging task. Finding potential pure spectral signatures or endmembers (EM) of the various surface materials within an image is
Mende, Andre, Heiden, Uta, Buchroithner, Manfred, Hoja, Danielle, Bachmann, Martin   +4 more
core  

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

The 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, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source