An efficient SAR edge detector with a lower false positive rate

2015 ◽  
Vol 36 (14) ◽  
pp. 3773-3797 ◽  
Author(s):  
Qian-Ru Wei ◽  
Da-Zheng Feng
Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Keerthi Prakash ◽  
Aneil Malhotra ◽  
Harshil Dhutia ◽  
Philippe Siegenthaler ◽  
Grant Nolan ◽  
...  

Introduction: Pathological Q waves are considered harbingers of cardiac pathology and should instigate comprehensive evaluation of athletes. Several definitions of the depth or duration of a Q wave exist, with disagreement between scientific bodies as to the most useful. Objectives: 1. Determine the prevalence of pathological Q waves in large cohorts of the general population, athletes and patients with hypertrophic cardiomyopathy (HCM). 2. Identify the most accurate Q wave criterion. Methods: ECGs were retrospectively analysed in consecutive cohorts of 10,008 healthy young athletes (14-35 years old), 2,994 healthy young non-athletes and 468 HCM patients. Results: Pathological Q waves that fulfilled at least one of the 4 individual definitions (Table 1) were identified in 0.7% athletes (n = 75), 1.2% non-athletes (n = 36) and 22.6% patients with HCM (n = 106). In the healthy athletic and non-athletic population, all pathological Q waves (n = 111) met the >3mm depth definition. In contrast, the majority of pathological Q waves in HCM patients met the ≥40msec duration definition (n = 75; 70.75%). We tested the ability of all 4 criteria to distinguish between health and disease in the entire cohort. Seattle and Refined had the best sensitivity for detecting HCM. Refined criteria however, had a significantly higher positive predictive value and 7 times lower false positive rate compared to Seattle. (Table 2) Conclusion: Pathological Q waves are present in up to 1.2% of healthy young individuals and do not correlate with physical activity. Of the proposed criteria, the Refined criteria has the lowest false positive rate and should be utilised in the context of cardiac evaluation in young athletes.


2007 ◽  
Vol 118 (4) ◽  
pp. 751-756 ◽  
Author(s):  
Anthony Chiodo ◽  
Andrew J. Haig ◽  
Karen S.J. Yamakawa ◽  
Douglas Quint ◽  
Henry Tong ◽  
...  

1987 ◽  
Vol 1987 (1) ◽  
pp. 521-528 ◽  
Author(s):  
Maurice Jones ◽  
Gordon H. Otto

ABSTRACT The U.S. Environmental Protection Agency (EPA) has prohibited the discharge of “free oil” in offshore drilling discharges and proposed new procedures to detect such oil. A statistically designed series of experiments was performed to evaluate three proposed sheen test procedures: EPA's Gulf of Mexico, Alaska, and cup protocols. Seventy-four independent observers conducted over 6,360 sheen tests. The experiments evaluated the effects of freshwater and saltwater test media, two lighting types, two mud types, and two oil types (diesel and mineral) at five concentrations (including a blank). The cup and Gulf tests had relatively high false positive rates. The Alaska procedure had a lower false positive rate, but did not detect oil concentrations of 5% reliably under some test conditions. As a result, none of the three procedures used can be considered satsifactory for National Pollutant Discharge Elimination System permit compliance.


2002 ◽  
Vol 41 (01) ◽  
pp. 37-41 ◽  
Author(s):  
S. Shung-Shung ◽  
S. Yu-Chien ◽  
Y. Mei-Due ◽  
W. Hwei-Chung ◽  
A. Kao

Summary Aim: Even with careful observation, the overall false-positive rate of laparotomy remains 10-15% when acute appendicitis was suspected. Therefore, the clinical efficacy of Tc-99m HMPAO labeled leukocyte (TC-WBC) scan for the diagnosis of acute appendicitis in patients presenting with atypical clinical findings is assessed. Patients and Methods: Eighty patients presenting with acute abdominal pain and possible acute appendicitis but atypical findings were included in this study. After intravenous injection of TC-WBC, serial anterior abdominal/pelvic images at 30, 60, 120 and 240 min with 800k counts were obtained with a gamma camera. Any abnormal localization of radioactivity in the right lower quadrant of the abdomen, equal to or greater than bone marrow activity, was considered as a positive scan. Results: 36 out of 49 patients showing positive TC-WBC scans received appendectomy. They all proved to have positive pathological findings. Five positive TC-WBC were not related to acute appendicitis, because of other pathological lesions. Eight patients were not operated and clinical follow-up after one month revealed no acute abdominal condition. Three of 31 patients with negative TC-WBC scans received appendectomy. They also presented positive pathological findings. The remaining 28 patients did not receive operations and revealed no evidence of appendicitis after at least one month of follow-up. The overall sensitivity, specificity, accuracy, positive and negative predictive values for TC-WBC scan to diagnose acute appendicitis were 92, 78, 86, 82, and 90%, respectively. Conclusion: TC-WBC scan provides a rapid and highly accurate method for the diagnosis of acute appendicitis in patients with equivocal clinical examination. It proved useful in reducing the false-positive rate of laparotomy and shortens the time necessary for clinical observation.


1993 ◽  
Vol 32 (02) ◽  
pp. 175-179 ◽  
Author(s):  
B. Brambati ◽  
T. Chard ◽  
J. G. Grudzinskas ◽  
M. C. M. Macintosh

Abstract:The analysis of the clinical efficiency of a biochemical parameter in the prediction of chromosome anomalies is described, using a database of 475 cases including 30 abnormalities. A comparison was made of two different approaches to the statistical analysis: the use of Gaussian frequency distributions and likelihood ratios, and logistic regression. Both methods computed that for a 5% false-positive rate approximately 60% of anomalies are detected on the basis of maternal age and serum PAPP-A. The logistic regression analysis is appropriate where the outcome variable (chromosome anomaly) is binary and the detection rates refer to the original data only. The likelihood ratio method is used to predict the outcome in the general population. The latter method depends on the data or some transformation of the data fitting a known frequency distribution (Gaussian in this case). The precision of the predicted detection rates is limited by the small sample of abnormals (30 cases). Varying the means and standard deviations (to the limits of their 95% confidence intervals) of the fitted log Gaussian distributions resulted in a detection rate varying between 42% and 79% for a 5% false-positive rate. Thus, although the likelihood ratio method is potentially the better method in determining the usefulness of a test in the general population, larger numbers of abnormal cases are required to stabilise the means and standard deviations of the fitted log Gaussian distributions.


2019 ◽  
Author(s):  
Amanda Kvarven ◽  
Eirik Strømland ◽  
Magnus Johannesson

Andrews & Kasy (2019) propose an approach for adjusting effect sizes in meta-analysis for publication bias. We use the Andrews-Kasy estimator to adjust the result of 15 meta-analyses and compare the adjusted results to 15 large-scale multiple labs replication studies estimating the same effects. The pre-registered replications provide precisely estimated effect sizes, which do not suffer from publication bias. The Andrews-Kasy approach leads to a moderate reduction of the inflated effect sizes in the meta-analyses. However, the approach still overestimates effect sizes by a factor of about two or more and has an estimated false positive rate of between 57% and 100%.


Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1894
Author(s):  
Chun Guo ◽  
Zihua Song ◽  
Yuan Ping ◽  
Guowei Shen ◽  
Yuhei Cui ◽  
...  

Remote Access Trojan (RAT) is one of the most terrible security threats that organizations face today. At present, two major RAT detection methods are host-based and network-based detection methods. To complement one another’s strengths, this article proposes a phased RATs detection method by combining double-side features (PRATD). In PRATD, both host-side and network-side features are combined to build detection models, which is conducive to distinguishing the RATs from benign programs because that the RATs not only generate traffic on the network but also leave traces on the host at run time. Besides, PRATD trains two different detection models for the two runtime states of RATs for improving the True Positive Rate (TPR). The experiments on the network and host records collected from five kinds of benign programs and 20 famous RATs show that PRATD can effectively detect RATs, it can achieve a TPR as high as 93.609% with a False Positive Rate (FPR) as low as 0.407% for the known RATs, a TPR 81.928% and FPR 0.185% for the unknown RATs, which suggests it is a competitive candidate for RAT detection.


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