Results 101 to 110 of about 6,275,177 (375)

An Analytical Study on the Utility of RGB and Multispectral Imagery with Band Selection for Automated Tumor Grading

Diagnostics
The implementation of tumor grading tasks with image processing and machine learning techniques has progressed immensely over the past several years.
Suchithra Kunhoth, Somaya Al-Maadeed
doaj   +1 more source

Colour analysis of degraded parchment [PDF]

, 2013
Multispectral imaging was employed to collect data on the degradation of an 18th century parchment by a series of physical and chemical treatments. Each sample was photographed before and after treatment by a monochrome digital camera with 21 narrow-band
Giacometti, A, Gibson, A, Macdonald, LW, Terras, M, Weyrich, T   +4 more
core  

Online Mutual Foreground Segmentation for Multispectral Stereo Videos

, 2018
The segmentation of video sequences into foreground and background regions is a low-level process commonly used in video content analysis and smart surveillance applications.
Bergevin, Robert, Bilodeau, Guillaume-Alexandre, St-Charles, Pierre-Luc   +2 more
core   +1 more source

NNMT Orchestrates Metabolic‐Epigenetic Reprogramming to Drive Macrophage‐Myofibroblast Transition in Hypertrophic Scarring

Advanced Science, EarlyView.
In macrophage‐myofibroblast transition, upregulated NNMT depletes S‐Adenosylmethionine‌ (SAM) and nicotinamide adenine dinucleotide(NAD+), thereby triggering epigenetic reprogramming via Histone H3 Lysine 27 acetylation (H3K27ac) accumulation at the promoter region of master transcription factor Prrx1.
Xiwen Dong, Weinan Guo, Yuxuan Qian, Wenyan Jin, Xiaozhen Li, Jingyuan Yang, Qingrong Ni, Shuang Wu, Fanni Li, Hua Wang, Chunying Li, Hong Cai   +11 more
wiley   +1 more source

Classification accuracy increase using multisensor data fusion [PDF]

, 2011
The practical use of very high resolution visible and near-infrared (VNIR) data is still growing (IKONOS, Quickbird, GeoEye-1, etc.) but for classification purposes the number of bands is limited in comparison to full spectral imaging. These limitations
Makarau, Aliaksei, Palubinskas, Gintautas, Reinartz, Peter   +2 more
core  

Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks

, 2016
Detecting and classifying targets in video streams from surveillance cameras is a cumbersome, error-prone and expensive task. Often, the incurred costs are prohibitive for real-time monitoring.
Benini, Luca, Bernath, Dominic, Cavigelli, Lukas, Magno, Michele   +3 more
core   +1 more source

Gradients in urban material composition: A new concept to map cities with spaceborne imaging spectroscopy data [PDF]

, 2019
To understand processes in urban environments, such as urban energy fluxes or surface temperature patterns, it is important to map urban surface materials. Airborne imaging spectroscopy data have been successfully used to identify urban surface materials
Feilhauer, Hannes, Heiden, Uta, Jilge, Marianne, Neumann, Carsten   +3 more
core   +2 more sources

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

Advanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao, Qinyuan Liu, Zhongwei Xin, Zhiyao Zhou, Mingjie Lin, Di Chen, Zhixing Hao, Yongyuan Chen, Wenxuan Wu, Shuyang Zhang, Xiaoke Chen, Xia Xu, Jinfan Li, Wei Lin, Yuhao Lu, Dang Wu, Pin Wu   +16 more
wiley   +1 more source

Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging

International Journal of Applied Earth Observations and Geoinformation, 2020
Unmanned Aerial Vehicle (UAV) platforms and associated sensing technologies are extensively utilized in precision agriculture. Using LiDAR and imaging sensors mounted on multirotor UAVs, we can observe fine-scale crop variations that can help improve ...
Yuri Shendryk, Jeremy Sofonia, Robert Garrard, Yannik Rist, Danielle Skocaj, Peter Thorburn   +5 more
doaj   +1 more source

Simultaneous exoplanet detection and instrument aberration retrieval in multispectral coronagraphic imaging

, 2013
High-contrast imaging for the detection and characterization of exoplanets relies on the instrument's capability to block out the light of the host star.
Beuzit, Jean-Luc, Fusco, Thierry, Mouillet, David, Mugnier, Laurent M., Ygouf, Marie   +4 more
core   +3 more sources