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 +2 more
wiley +1 more source
Collaborative representation and confidence-driven semi-supervised learning for hyperspectral image classification. [PDF]
Chen Y, Lu H, Huang X.
europepmc +1 more source
When biology meets materials science – Interdisciplinary applications of electron microscopy
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 +5 more
wiley +1 more source
Soluble solids content prediction of pineapple based on visible-near infrared hyperspectral image. [PDF]
Yao Y +7 more
europepmc +1 more source
Hyperspectral tomographic diffractive microscopy: Development and applications
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 +4 more
wiley +1 more source
CauseHSI: Counterfactual-Augmented Domain Generalization for Hyperspectral Image Classification via Causal Disentanglement. [PDF]
Li X, Yang Z, Li W.
europepmc +1 more source
Abstract Grain identification in polycrystalline nanoparticles, for example, determining which crystal phases are present at each spatial location, is fundamental to materials characterisation. This is particularly challenging when grains overlap extensively, as commonly occurs in four‐dimensional scanning transmission electron microscopy (4D‐STEM ...
Wei Liu +5 more
wiley +1 more source
Dynamic gated fusion network with hierarchical multi-scale attention for hyperspectral image classification. [PDF]
Shi X, Liu L, Bao X, Pan B, Hussain S.
europepmc +1 more source
Bridging data silos to holistically model plant macrophenology
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 +9 more
wiley +1 more source
Hyperspectral image and chemometrics. A step beyond classical spectroscopic PAT tools. [PDF]
de Juan A, de Oliveira RR.
europepmc +1 more source

