Results 141 to 150 of about 6,292,229 (390)

Automated scalable segmentation of neurons from multispectral images [PDF]

open access: green, 2016
Uygar Sümbül   +7 more
openalex   +1 more source

Functional multispectral optoacoustic tomography imaging of hepatic steatosis development in mice [PDF]

open access: gold, 2020
Shan Huang   +7 more
openalex   +1 more source

Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images [PDF]

open access: gold, 2022
Marian-Daniel Iordache   +6 more
openalex   +1 more source

Fluorinated Hypoxia‐Responsive Aza‐BODIPY for NIR‐II FL/19F MR/PA Imaging and Phototherapy of Lung Cancer

open access: yesAdvanced Science, EarlyView.
Fluorinated N‐oxide aza‐BODIPY nanoemulsions integrate fluorination‐driven molecular design with co‐assembly in fluorinated oil for multimodal imaging‐guided phototherapy. The co‐assembly redshifts fluorescence into the NIR‐II window for deep‐tissue imaging and provides a unified 19F signal for background‐free, quantitative MRI.
Anfeng Li   +5 more
wiley   +1 more source

HyFormer: Hybrid Transformer and CNN for Pixel-Level Multispectral Image Land Cover Classification. [PDF]

open access: yesInt J Environ Res Public Health, 2023
Yan C   +6 more
europepmc   +1 more source

Pterygium and Ocular Surface Squamous Neoplasia: Optical Biopsy Using a Novel Autofluorescence Multispectral Imaging Technique [PDF]

open access: gold, 2022
Abbas Habibalahi   +8 more
openalex   +1 more source

Digital Agriculture: Past, Present, and Future

open access: yesAdvanced Intelligent Discovery, EarlyView.
Digital agriculture integrates Internet of Things, artificial intelligence, and blockchain to enhance efficiency and sustainability in farming. This review outlines its evolution, current applications, and future directions, highlighting both technological advances and key challenges for global implementation.
Xiaoding Wang   +3 more
wiley   +1 more source

Multi-Stage Feature Fusion of Multispectral and SAR Satellite Images for Seasonal Crop-Type Mapping at Regional Scale Using an Adapted 3D U-Net Model

open access: yesRemote Sensing
Earth observation missions such as Sentinel and Landsat support the large-scale identification of agricultural crops by providing free radar and multispectral satellite images. The extraction of representative image information as well as the combination
Lucas Wittstruck   +2 more
doaj   +1 more source

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