Results 11 to 20 of about 694,176 (262)
Common causes of false positive F18 FDG PET/CT scans in oncology
Brazilian Archives of Biology and Technology, 2007 PET/CT is a common imaging modality used in the evaluation of oncology patients. While being extremely sensitive to identifying sights of malignancy F18FDG is very non-specific.
Kevin R. Carter, Eduard Kotlyarov
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Frontiers in Psychology, 2023 IntroductionFalse positives in retrospective binary suicide attempt classification models are commonly attributed to sheer classification error. However, when machine learning suicide attempt classification models are trained with a multitude of psycho ...
E. F. Haghish +4 more
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The False False Positives of Static Analysis [PDF]
, 2017 Static analysis tools may produce false positive results, which negatively impact the overall usability of these tools. However, even a correct static analysis report is sometimes classified as a false positive if a developer does not understand it or ...
Tymchuk, Yuriy
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Scientific Reports, 2023 Diagnostic image analysis for unruptured cerebral aneurysms using artificial intelligence has a very high sensitivity. However, further improvement is needed because of a relatively high number of false positives. This study aimed to confirm the clinical
Masashi Kuwabara +14 more
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, 2023 Number of true positives, false positives, false negatives, and true negatives for each cause of death.
Masaharu Nakayama (285382) +7 more
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Administrative mass data linking minimal/zero false positives
International Journal of Population Data Science, 2017 Objectives Part of eHealth project in Scotland to assign a health index to all electronic patient records. One off extracts from live and historical records were posted to a record linkage department where deterministic and Newcombe probability mass ...
Chris Povey
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Advances in Simulation, 2018 Background The contrasting groups’ standard setting method is commonly used for consequences analysis in validity studies for performance in medicine and surgery.
Morten Jørgensen +2 more
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Where are our false positives?
, 2022 In our current regime of COVID-19 testing, a question seems not to be asked: Are we inferring the best we can from our results? Or, put differently, are we testing with severity?
Jose D. Perezgonzalez, Perezgonzalez J
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Source Code Reduction to Summarize False Positives [PDF]
, 2015 The main disadvantage of static code analysis tools is the high rates of false positives they produce. Users may need to manually analyze a large number of warnings, to determine if these are false or legitimate warnings, reducing the benefits of ...
Marenchino, Matias
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Improved YOLOv3 Integrating SENet and Optimized GIoU Loss for Occluded Pedestrian Detection
Sensors, 2023 Occluded pedestrian detection faces huge challenges. False positives and false negatives in crowd occlusion scenes will reduce the accuracy of occluded pedestrian detection.
Qiangbo Zhang +4 more
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