Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata

Learning to detect objects, such as humans, in imagery captured by an unmanned aerial vehicle (UAV) usually suffers from tremendous variations caused by the UAV's position towards the objects. In addition, existing UAV-based benchmark datasets do not provide adequate dataset metadata, which is essential for precise model diagnosis and learning features invariant to those variations. In this paper, we introduce Archangel, the first UAV-based object detection dataset composed of real and synthetic subsets captured with similar imagining conditions and UAV position and object pose metadata. A series of experiments are carefully designed with a state-of-the-art object detector to demonstrate the benefits of leveraging the metadata during model evaluation. Moreover, several crucial insights involving both real and synthetic data during model optimization are presented. In the end, we discuss the advantages, limitations, and future directions regarding Archangel to highlight its distinct value for the broader machine learning community.Comment: Submission to IEEE Acces

Towards a Heterogeneous Medical Image Registration Acceleration Platform

Abstract — For the past decade, improving the performance and accuracy of medical image registration has been a driving force of innovation in medical imaging. Accurate image registration enhances diagnoses of patients, accounts for changes in morphology of structures over time, and even combines images from different modalities. The ultimate goal of medical image registration research is to create a robust, real time, elastic registration solution that may be used on many modalities. With such a computationally intensive and multifaceted problem, researchers have exploited parallelism at different levels to improve the performance of this application, but there has yet to be a solution fast enough and effective enough to gain widespread clinical use. To achieve real time elastic registration, an implementation must simultaneously exploit multiple types of parallelism in the application by targeting a heterogeneous platform whose computational components (e.g. multiprocessors, graphics processors, field programmable gate arrays) match these types of parallelism. Our initial experiments indicate that an 8 node heterogeneous cluster can realize over 100x speedup compared to a high performance uniprocessor system. By creating a platform based on modern hardware, we believe that a heterogeneous compute platform customized for image registration can provide robust, scalable, cost effective subminute medical image registration capabilities

Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata

Learning to detect objects, such as humans, in imagery captured by an unmanned aerial vehicle (UAV) usually suffers from tremendous variations caused by the UAV’s position towards the objects. In addition, existing UAV-based benchmark datasets do not provide adequate dataset metadata, which is essential for precise model diagnosis and learning features invariant to those variations. In this paper, we introduce Archangel, the first UAV-based object detection dataset composed of real and synthetic subsets captured with similar imagining conditions and UAV position and object pose metadata. A series of experiments are carefully designed with a state-of-the-art object detector to demonstrate the benefits of leveraging the metadata during model evaluation. Moreover, several crucial insights involving both real and synthetic data during model optimization are presented. In the end, we discuss the advantages, limitations, and future directions regarding Archangel to highlight its distinct value for the broader machine learning community

Elevated blood pressure and illness beliefs: a cross-sectional study of emergency department patients in Jamaica

Abstract Background Elevated blood pressure (BP) is common among emergency department (ED) patients. While some data exist on the association between ED BP and hypertension (HTN) in the USA, little is known about this relationship in Afro-Caribbean nations. The aim of the study was to evaluate the relationship between elevated systolic BP in the ED and a previous diagnosis of HTN, accounting for potential factors that could contribute to poor HTN control among those with a previous diagnosis: socioeconomic status, health-seeking behavior, underlying HTN illness beliefs, medication adherence, and perceived adherence self-efficacy. Methods This was a cross-sectional survey over 6 weeks, from November 19 through December 30, 2014. Those surveyed were non-critically ill or injured adult ED patients (≥ 18 years) presenting to an Afro-Caribbean hospital. Descriptive statistics were derived for study patients as a whole, by HTN history and by presenting BP subgroup (with systolic BP ≥ 140 mmHg considered elevated). Data between groups were compared using chi-square and t tests, where appropriate. Results A total of 307 patients were included: 145 (47.2%) had a prior history of HTN, 126 (41.4%) had elevated BP, and 89 (61.4%) of those presenting with elevated blood pressure had a previous diagnosis of HTN. Those with less formal education were significantly more likely to present with elevated BP (52.1 vs. 28.8% for those with some high school and 19.2% for those with a college education; p = 0.001). Among those with a history of HTN, only 56 (30.9%) had a normal presenting BP. Those with a history of HTN and normal ED presenting BP were no different from patients with elevated BP when comparing the in duration of HTN, medication compliance, location of usual follow-up care, and HTN-specific illness beliefs. Conclusions In this single-center study, two out of every five Jamaican ED patients had elevated presenting BP, the majority of whom had a previous diagnosis of HTN. Among those with a history of HTN, 60% had an elevated presenting BP. The ED can be an important location to identify patients with chronic disease in need of greater disease-specific education. Further studies should evaluate if brief interventions provided by ED medical staff improve HTN control in this patient population