نتایج جستجو برای: false positive reaction fpr

تعداد نتایج: 1080794  

Journal: :Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 2013
G Ashoor A Syngelaki E Wang C Struble A Oliphant K Song K H Nicolaides

OBJECTIVE To assess the performance of chromosome-selective sequencing of maternal plasma cell-free DNA (cfDNA) in non-invasive prenatal testing for trisomy 13. METHODS Two-phase case-control study on a single plasma sample per case. The first phase was used to optimize the trisomy 13 algorithm, which was then applied to a second dataset to determine the risk score for trisomy 13 by laborator...

Journal: :NeuroImage 2011
Courtney A. Bishop Mark Jenkinson Jesper L. R. Andersson Jérôme Declerck Dorit Merhof

With hippocampal atrophy both a clinical biomarker for early Alzheimer's Disease (AD) and implicated in many other neurological and psychiatric diseases, there is much interest in the accurate, reproducible delineation of this region of interest (ROI) in structural MR images. Here we present Fast Marching for Automated Segmentation of the Hippocampus (FMASH): a novel approach using the Sethian ...

Journal: :Cardiovascular research 2008
Jon Riise Cam H T Nguyen Eirik Qvigstad Dagny L Sandnes Jan-Bjørn Osnes Tor Skomedal Finn Olav Levy Kurt A Krobert

AIMS The aims of this study were to determine if the prostanoid F receptor (FPR)-mediated inotropic effect in rat ventricle is mediated by increased phosphorylation of myosin light chain-2 (MLC-2) and to elucidate the signalling pathway(s) activated by FPRs to regulate MLC-2 phosphorylation. METHODS AND RESULTS Contractility was measured in left ventricular strips from adult male rats. Strips...

Journal: :Lecture Notes in Computer Science 2021

This paper focuses on a novel approach for false-positive reduction (FPR) of nodule candidates in Computer-Aided Detection (CADe) systems following the suspicious lesions detection stage. Contrary to typical decisions medical image analysis, proposed considers input data not as 2D or 3D image, but rather point cloud, and uses deep learning models clouds. We discovered that cloud require less me...

Journal: :Journal of Radiography and Radiation Sciences 2022


 Aim: To characterize and classify stroke lesions normal brain tissue in computed tomography (CT) images using statistical texture descriptors.
 Patients methods: Two experienced radiologists blinded to each other inspected CT of 164 patients identify categorize into ischaemic haemorrhagic subtypes. Four regions interest (ROIs) slice that demonstrated the lesion; two representing les...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان تهران - دانشکده کامپیوتر و فناوری اطلاعات 1390

حملات ddos یکی از مهم ترین تهدیدات برای در دسترس بودن سرویس های اینترنت برای کاربران می باشد. در این نوع از حملات، مهاجم با استفاده از میلیون ها عامل تعداد بسیار زیادی بسته ایجاد کرده و به سیستم قربانی ارسال می کندو به این ترتیب تمام منابع محاسباتی و ارتباطی سیستم قربانی را در مدت زمان بسیار کوتاهی مصرف می کند. با این کار سیستم قربانی قادر به پاسخگویی به کاربران قانونی خود نخواهد بود. روش هایی ...

1948
Balbir Singh

Greval (1940) reported that some cases of ' Eosinophilia ' give false positive Wassermann reaction. More recently Menon (1945) and D'Abrera and Stork (1946) reported similar reactions in tropical eosinophilia. It was proposed to record results of Wassermann reaction and Kahn test in all cases of eosinophilia as a part of the investigation into the incidence of false positive serologic reactions...

Journal: :Journal of Clinical Pathology 1969

2017
Chih-Yuan Lin Simin Nadjm-Tehrani Mikael Asplund

Supervisory Control and Data Acquisition (SCADA) systems that operate our critical infrastructures are subject to increased cyber attacks. Due to the use of request-response communication in polling, SCADA traffic exhibits stable and predictable communication patterns. This paper provides a timing-based anomaly detection system that uses the statistical attributes of the communication patterns....

2016
Wei Li Peng Cao Dazhe Zhao Junbo Wang

Computer aided detection (CAD) systems can assist radiologists by offering a second opinion on early diagnosis of lung cancer. Classification and feature representation play critical roles in false-positive reduction (FPR) in lung nodule CAD. We design a deep convolutional neural networks method for nodule classification, which has an advantage of autolearning representation and strong generali...

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