نتایج جستجو برای: cca

تعداد نتایج: 4455  

Journal: :Journal of the Society of Materials Science, Japan 1965

Journal: :asia oceania journal of nuclear medicine and biology 0
chanisa chotipanich national cyclotron and pet centre, chulabhorn hospital, thailand chetsadaporn promteangtrong national cyclotron and pet centre, chulabhorn hospital, thailand anchisa kunawudhi national cyclotron and pet centre, chulabhorn hospital, thailand rawisak chanwat surgery department, chulabhorn hospital, thailand thaniya sricharunrat pathology department, chulabhorn hospital, thailand savitree suratako national cyclotron and pet centre, chulabhorn hospital, thailand

objective(s): this study aimed to compare the diagnostic values of 11c-choline and 18f-fluorodeoxyglucose (18f-fdg) positron emission tomography/computed tomography (pet/ct) in patients with cholangiocarcinoma (cca). methods: this prospective study was conducted on 10 patients (6 males and 4 females), aged 42-69 years, suspected of having cca based on ct or magnetic resonance imaging (mri) resu...

2017
Jihua Nie Jingying Zhang Lili Wang Lunjie Lu Qian Yuan Fangmei An Shuyu Zhang Yang Jiao

BACKGROUND The early occurrence regional nodal and distant metastases cholangiocarcinoma (CCA) is one of the major reasons for its poor prognosis. However, the related mechanisms are largely elusive. Recently, increasing evidences indicate that adipocytes might be involved in the proliferation, homing, migration and invasion of several malignancies. In the present study, we attempt to determine...

2016
Matthias Dorfer Jan Schlüter Gerhard Widmer

Canonical Correlation Analysis (CCA) computes maximally-correlated linear projections of two modalities. We propose Differentiable CCA, a formulation of CCA that can be cast as a layer within a multi-view neural network. Unlike Deep CCA, an earlier extension of CCA to nonlinear projections, our formulation enables gradient flow through the computation of the CCA projection matrices, and free ch...

Journal: :CoRR 2017
Peng-Bo Zhang Zhixin Yang

This paper presents a robust matrix elastic net based canonical correlation analysis (RMEN-CCA) for multiple view unsupervised learning problems, which emphasizes the combination of CCA and the robust matrix elastic net (RMEN) used as coupled feature selection. The RMEN-CCA leverages the strength of the RMEN to distill naturally meaningful features without any prior assumption and to measure ef...

Journal: :The Egyptian journal of immunology 2010
Sherif H Abdeen

Schistosome circulating cathodic antigen (CCA) has been hypothesized to take part in immune evasion mechanisms that protect against host's immunity. To dissect its immunogenicity, lymphoproliferative responses of splenocytes were assessed in C57BL/6 mice immunized with recombinant plasmid constructs expressing full-length and truncated fragments of CCA cDNA, before and after challenge infection...

2015
Jiang-Qi Liu Xing-Yong Li Hai-Qiong Yu Gui Yang Zhi-Qiang Liu Xiao-Rui Geng Shuai Wang Li-Hua Mo Lu Zeng Miao Zhao Yun-Ting Fu Hong-Zhi Sun Zhi-Gang Liu Ping-Chang Yang

The abnormality of immune regulation plays a critical role in the pathogenesis of cancer; the underlying mechanism has not been fully understood yet. This study aims to investigate the role of cancer specific T helper (Th)2 response in the inhibition of colon cancer (Cca) cell growth. The results showed that with Cca cell (CT26 cell) extracts as an antigen, the Cca-extract specific Th2 response...

Journal: :Asian Pacific journal of cancer prevention : APJCP 2012
Sopit Wongkham Atit Silsirivanit

Difficulties in cholangiocarcinoma (CCA) management are largely due to the lack of specific biomarkers to diagnose CCA patients at an early stage. Most of CCA patients are diagnosed when the tumors have already extensively invaded and/or metastasized, resulting in poor survival. Definite diagnosis for CCA is through a histopathological study of e liver tissues, which is invasive to obtain the s...

2014
Yichao Lu Dean P. Foster

Canonical Correlation Analysis (CCA) is a widely used statistical tool with both well established theory and favorable performance for a wide range of machine learning problems. However, computing CCA for huge datasets can be very slow since it involves implementing QR decomposition or singular value decomposition of huge matrices. In this paper we introduce L-CCA , a iterative algorithm which ...

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