Results 41 to 50 of about 6,314,806 (301)

Attention-Embedded Triple-Fusion Branch CNN for Hyperspectral Image Classification

Remote Sensing, 2023
Hyperspectral imaging (HSI) is widely used in various fields owing to its rich spectral information. Nonetheless, the high dimensionality of HSI and the limited number of labeled data remain significant obstacles to HSI classification technology.
Erlei Zhang, Jiayi Zhang, Jiaxin Bai, Jiarong Bian, Shaoyi Fang, Tao Zhan, Mingchen Feng   +6 more
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Image denoising based on Singular-Spectrum-Analysis (SSA) in femtosecond stimulated Raman scattering microscopy [PDF]

EPJ Web of Conferences
Stimulated Raman scattering (SRS) microscopy is able to perform high sensitivity biological imaging with high spatial and spectral resolution and image acquisition time of a few seconds. Nevertheless, SRS images often suffer from low SNR, due to the weak
Costa Giovanni, Ranjan Rajeev, Ferrara Maria Antonietta, Sansone Mario, Sirleto Luigi   +4 more
doaj   +1 more source

Mineralogical mapping using airborne imaging spectrometry data [PDF]

, 1989
With the development of airborne, high spectral resolution imaging spectrometers, we now have a tool, that allows us to examine surface materials with enough spectral detail to identify them.
Mackin, Stephen
core  

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

Cross-range self-attention single hyperspectral image super-resolution method based on U-Net architecture

Scientific Reports
Hyperspectral image super-resolution (HSI-SR) aims to reconstruct high-resolution hyperspectral images from low-resolution inputs, which is particularly challenging due to the high dimensionality and complex spatial-spectral correlations inherent in ...
Haijun Wang, Wenli Zheng, Limei Huo, Kaibing Zhang, Tengfei Yang, Peiluan Li   +5 more
doaj   +1 more source

Cross-Crop Transferability of Machine Learning Models for Early Stem Rust Detection in Wheat and Barley Using Hyperspectral Imaging

Plants
Early plant disease detection is crucial for sustainable crop production and food security. Stem rust, caused by Puccinia graminis f. sp. tritici, poses a major threat to wheat and barley.
Anton Terentev, Daria Kuznetsova, Alexander Fedotov, Olga Baranova, Danila Eremenko   +4 more
doaj   +1 more source

Temporal Effects on Internal Fluorescence Emissions Associated with Aflatoxin Contamination from Corn Kernel Cross-Sections Inoculated with Toxigenic and Atoxigenic Aspergillus flavus

Frontiers in Microbiology, 2017
Non-invasive, easy to use and cost-effective technology offers a valuable alternative for rapid detection of carcinogenic fungal metabolites, namely aflatoxins, in commodities.
Zuzana Hruska, Haibo Yao, Russell Kincaid, Robert L. Brown, Deepak Bhatnagar, Thomas E. Cleveland   +5 more
doaj   +1 more source

Cross-Spectral Domain Adaptation for Hyperspectral Image Super-Resolution

2025 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
Deep learning methods have seen great success for super-resolution tasks over a variety of domains. However, for super-resolution in hyperspectral imaging (HSI) one of the bottlenecks for performance is the availability of high-quality training data sets with high spatial resolution. This issue is further exacerbated in the case of HSI spectral domains
Couchard, Darius, De Meulemeester, Hannes, Haelterman, Rob, Leroux, Sam   +3 more
openaire   +2 more sources

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source