Results 171 to 180 of about 77,081 (273)

Versatile and comprehensive hyperspectral imaging tool for molecular neuronavigation: a case study on cerebral gliomas. [PDF]

J Biomed Opt
Nardini D, Toaha A, Bonaudo C, Ezhov I, Artemiou A, Camelia M, Nozzoli F, Giannoni L, Tachtsidis I, Della Puppa A, Rueckert D, Ricci P, Pavone F.   +12 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

A lightweight hybrid transformer approach for hyperspectral imaging-based drought tolerance evaluation in tea plants. [PDF]

Plant Methods
Li Y, Zhang Y, Wang Y, Chen H, Han X, Mao Y, Sun L, Shen J, Ding Z.   +8 more
europepmc   +1 more source

Algorithm theoretical basis document [PDF]

, 2009
Carrère, V., Clevers, J.G.P.W., Gamba, P., Huber, S., Malenovsky, Z., Schaepman, M.E., Zagajewski, B.   +6 more
core   +1 more source

Hyperspectral image denoising

, 2020
Šiame darbe analizavome hiperspektrinius vaizdus, hiperspektrinias vaizdavimo technologijas ir triukšmo kilmę hiperspektriniuose vaizduose. Mes ištyrėme ir įgyvendinome kelis HSI triukšmo vertinimo metodus: koreliacijos koeficientų suradimo metodikas (R1 ir R2) ir tiesinės regresijos metodikas (LMLSD ir SSDC).
openaire   +1 more source

X‐ray computed tomography study of terrestrial analog cores in preparation for Mars sample return

Meteoritics &Planetary Science, EarlyView.
Abstract Mars Sample Return (MSR) is expected to transform planetary science by providing unprecedented access to pristine Martian material. Initial characterization in the sample receiving facility (SRF) will rely on nondestructive techniques such as X‐ray computed tomography (XCT) to document the condition, distribution, and internal features of ...
Sophie Benaroya, Christopher D. K. Herd, David T. Flannery, Nicolas Randazzo   +3 more
wiley   +1 more source

Multimodal deep learning with hyperspectral imaging for accurate origin classification of wolfberries. [PDF]

Food Chem X
Li B, Xia R, Li J, Zhang J, Zhang Z, Chen J, Chen Y.   +6 more
europepmc   +1 more source

Bridging data silos to holistically model plant macrophenology

New Phytologist, EarlyView.
Summary Phenological response to global climate change can impact ecosystem functions. There are various data sources from which spatiotemporal and taxonomic phenological data may be obtained: mobilized herbaria, community science initiatives, observatory networks, and remote sensing.
Lizbeth G. Amador, Tadeo H. Ramirez‐Parada, Isaac W. Park, Susan J. Mazer, Aaron M. Ellison, Margaret O'Brien, Eric R. Sokol, Colin A. Smith, Charles C. Davis, Sydne Record   +9 more
wiley   +1 more source

Light Sources in Hyperspectral Imaging Simultaneously Influence Object Detection Performance and Vase Life of Cut Roses. [PDF]

Plants (Basel)
Kim YT, Ham JY, In BC.
europepmc   +1 more source

Using reflectance spectra and Pl@ntNet to identify herbarium specimens: a case study with Lithocarpus

New Phytologist, EarlyView.
Summary The digitisation of plant collections is bringing large quantities of information into accessible electronic databases. However, in recent decades, traditional taxonomic work in collections has declined, meaning that more specimens are only determined to family or genus, particularly when lacking key identification structures.
Barbara M. Neto‐Bradley, Pierre Bonnet, Hervé Goëau, Alexis Joly, Jeannine Cavender‐Bares, David A. Coomes   +5 more
wiley   +1 more source