Results 61 to 70 of about 187,114 (259)
Fast Visual Tracking With Robustifying Kernelized Correlation Filters
IEEE Access, 2018 Robust visual tracking is a challenging work because the target object suffers appearance variations over time. Tracking algorithms based on correlation filter have presently attracted much attention because of their high efficiency and computation speed.
Qianbo Liu +2 more
doaj +1 more source
Molecular Oncology, EarlyView.In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Robust Scale Adaptive Visual Tracking with Correlation Filters
Applied Sciences, 2018 Visual tracking is a challenging task in computer vision due to various appearance changes of the target object. In recent years, correlation filter plays an important role in visual tracking and many state-of-the-art correlation filter based trackers ...
Chunbao Li, Bo Yang
doaj +1 more source
Feature Correlation Filter for Face Recognition [PDF]
, 2007 The correlation filters for pattern recognition, have been extensively studied in the areas of automatic target recognition(ATR) and biometrics. Whereas the conventional correlation filters perform directly on image pixels, in this paper, we propose a novel method, called "feature correlation filter (FCF)", by extending the concept of correlation ...
XiangXin Zhu +4 more
openaire +1 more source
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3
Molecular Oncology, EarlyView.PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh +12 more
wiley +1 more source
Multiscale spatially regularised correlation filters for visual tracking
IET Computer Vision, 2017 Recently, discriminative correlation filter based trackers have achieved extremely successful results in many competitions and benchmarks. These methods utilise a periodic assumption of the training samples to efficiently learn a classifier.
Xiaodong Gu, Xinyu Huang, Alade Tokuta
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Correlation Filters With Adaptive Multiple Contexts for Visual Tracking
IEEE Access, 2020 The local contexts define the target and its surrounding background within a constrained region, and have been proved useful for visual tracking, but how to adaptively employ them for building robust models remains challenging.
Feng Li, Hongzhi Zhang, Shan Liu
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KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Molecular Oncology, EarlyView.Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan +16 more
wiley +1 more source