Results 61 to 70 of about 372,115 (318)

Multi-scale Deep Learning Architectures for Person Re-identification

, 2017
Person Re-identification (re-id) aims to match people across non-overlapping camera views in a public space. It is a challenging problem because many people captured in surveillance videos wear similar clothes.
Fu, Yanwei, Jiang, Yu-Gang, Qian, Xuelin, Xiang, Tao, Xue, Xiangyang   +4 more
core   +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

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Object Detection in Remote Sensing Images Based on Adaptive Multi-Scale Feature Fusion Method

Remote Sensing
Multi-scale object detection is critical for analyzing remote sensing images. Traditional feature pyramid networks, which are aimed at accommodating objects of varying sizes through multi-level feature extraction, face significant challenges due to the ...
Chun Liu, Sixuan Zhang, Mengjie Hu, Qing Song   +3 more
doaj   +1 more source

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

Molecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau, Lilian G. Zhai, Ryunosuke Hoshi, Zackary Rousseau, Abraam Zakhary, Yin Fang Wu, Rola M. Saleeb, Heyu Ni, Kelsie L. Thu   +8 more
wiley   +1 more source

Scale Enhancement Pyramid Network for Small Object Detection from UAV Images

Entropy, 2022
Object detection is challenging in large-scale images captured by unmanned aerial vehicles (UAVs), especially when detecting small objects with significant scale variation.
Jian Sun, Hongwei Gao, Xuna Wang, Jiahui Yu   +3 more
doaj   +1 more source

LFANet: Low-Altitude Remote Sensing Change Detection With Level-Wise Feature Fusion and Multi-Scale Aggregation for Land-Use Monitoring

IEEE Access
With the rapid growth of low-altitude remote sensing for Earth observation, change detection faces many challenges, such as class imbalance, variations in illumination and imaging conditions, and false changes caused by geometric distortions.
Yanwen Xiong, Zhaokong Lu, Zhen Liu, Xiao Wang   +3 more
doaj   +1 more source

SCA-Net: Multiscale Contextual Information Network for Building Extraction Based on High-Resolution Remote Sensing Images

Remote Sensing, 2023
Accurately extracting buildings is essential for urbanization rate statistics, urban planning, resource allocation, etc. The high-resolution remote sensing images contain rich building information, which provides an important data source for building ...
Yuanzhi Wang, Qingzhan Zhao, Yuzhen Wu, Wenzhong Tian, Guoshun Zhang   +4 more
doaj   +1 more source

Polarized image fusion strategy based on multi-scale feature fusion

Optics Express
Polarized image fusion aims to combine multi-scale polarization data to generate images with improved texture and intensity details. To enhance the extraction and preservation of complementary information from source images, we propose a novel fusion strategy based on a Dense Generative Adversarial Network (D-GAN).
Junxiang Liu, Zhenmin Zhu, Wei Li, Wenquan Lu, Zhenhua Xu   +4 more
openaire   +1 more source

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

Molecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena, Karin Teien Lande, Eva Diaz, Ana Vilar, Juan Cueva, Efigenia Arias, Victoria Sampayo, Alicia Abalo, Nerea González, Eva Colás, Antonio Gil‐Moreno, Miguel Abal, Gema Moreno‐Bueno, Therese Sørlie, Kristina Lindemann, Laura Muinelo‐Romay   +15 more
wiley   +1 more source