Results 221 to 230 of about 415,012 (281)

SOX30 Facilitates Triple‐Negative Breast Cancer Metastasis via TNFR2–NF‐κB Signaling and Tumor Microenvironment Remodeling

open access: yesAdvanced Science, EarlyView.
SOX30 drives triple‐negative breast cancer (TNBC) metastasis through a dual mechanism: direct activation of the TNFR2/NF‐κB signaling cascade and subsequent CCL20‐mediated recruitment of tumor‐associated macrophages (TAMs) into the tumor microenvironment.
Pingping Gao   +10 more
wiley   +1 more source

Macrophage Dab1 Links Early Hypoxia to Adaptive Angiogenesis to Drive Peripheral Nerve Repair

open access: yesAdvanced Science, EarlyView.
Schematic diagram illustrating the Dab1‐linked hypoxia signaling pathway that accelerates angiogenesis and consequent nerve regeneration. Following PNI, a hypoxic microenvironment develops. Hypoxia induces macrophage Dab1 phosphorylation, resulting in NHE‐1 upregulation, HIF‐1α stabilization, and VEGF‐A expression. This cascade promotes angiogenesis in
Xiongyao Zhou   +14 more
wiley   +1 more source

Towards finger-vein image restoration and enhancement for finger-vein recognition

Information Sciences, 2014
Biometric recognition based on human finger-vein patterns is an emerging technique and has been receiving increasing attention. Due to light attenuation in biological tissue, the collected finger-vein images are often seriously degraded. This makes finger-vein feature representation unreliable, and inevitably impairs the accuracy of finger-vein ...
Jinfeng Yang, Yihua Shi
exaly   +3 more sources

Finger–vein ROI localization and vein ridge enhancement

Pattern Recognition Letters, 2012
Finger-vein based biometrics, as a new approach to personal identification, has received much attention in recent years. However, the poor visibility of finger-vein imageries is really not beneficial for deepening the understanding of finger-vein characteristics.
Jinfeng Yang, Yihua Shi
exaly   +3 more sources

Finger vein recognition with manifold learning

Journal of Network and Computer Applications, 2010
Finger vein is a promising biometric pattern for personal identification in terms of its security and convenience. However, so residual information, such as shade produced by various thicknesses of the finger muscles, bones, and tissue networks surrounding the vein, are also captured in the infrared images of finger vein.
Qingli Li, Hongjun Wang, Yilong Yin
exaly   +3 more sources

Enhancement of Finger-Vein Image by Vein Line Tracking and Adaptive Gabor Filtering for Finger-Vein Recognition

open access: yesApplied Mechanics and Materials, 2011
Biometrics is the technology to identify a user by using the physiological or behavioral characteristics. Among the biometrics such as fingerprint, face, iris, and speaker recognition, finger-vein recognition has been widely used in various applications such as door access control, financial security, and user authentication of personal computer, due ...
So Ra Cho   +7 more
openaire   +2 more sources

Which finger is the best for finger vein recognition?

open access: yes2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2016
Finger vein recognition is a biometric method utilizing the vein patterns inside one's fingers for personal identification. Every user has 10 fingers in total, among which the index fingers and middle fingers from left and right hands are the most common used fingers in finger vein recognition systems, for their suitable length, width and flexibility ...
He Zheng   +4 more
openaire   +3 more sources

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