In this survey paper a comprehensive survey of segmentation techniques used for localizing brain stroke area (differentiating it with normal region of brain) has been presented. In recent times, automated systems are preferred over manual and semi automated systems. Segmentation or localization is not a challenge, challenge lies behind producing an automated, reproducible and clinically accepte...

BACKGROUND Age-related macular degeneration (ARMD) is the most prevalent cause of visual loss in patients older than 60 years in the United States. Observation of drusen is the hallmark finding in the clinical evaluation of ARMD. OBJECTIVES To segment and quantify drusen found in patients with ARMD using image analysis and to compare the efficacy of image analysis segmentation with that of st...

BACKGROUND AND OBJECTIVES Our study developed a fully automated method for segmentation and volumetric measurements of kidneys from magnetic resonance images in patients with autosomal dominant polycystic kidney disease and assessed the performance of the automated method with the reference manual segmentation method. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Study patients were selected ...

OBJECTIVE To determine the efficacy and safety of automated adjustment of the fraction of inspired oxygen (Fio(2)) adjustment in maintaining arterial oxygen saturation (Spo(2)) within an intended range for mechanically ventilated preterm infants with frequent episodes of decreased Spo(2). METHODS Thirty-two infants (gestational age [median and interquartile range]: 25 weeks [24-27 weeks]; age...

Detecting rare events in an electronic medical record (EMR) is similar to searching for a needle in a haystack. Automated methods (natural language processing) and manual methods (chart review) can be used. However, when events are rare and the patient population is large, manual annotation may not be feasible and NLP alone may not be able to reach acceptable levels of performance. We propose a...

Nucleic acid amplification testing (NAAT) enables rapid and sensitive diagnosis of tuberculosis (TB), which facilitates treatment and mitigates transmission. Nucleic acid extraction from sputum constitutes the greatest technical challenge in TB NAAT for near-patient settings. This report presents preliminary data for a semi-automated sample processing method, wherein sputum is disinfected and l...

OBJECTIVE High-definition transcranial direct current stimulation (HD-tDCS) and high-density electroencephalography require accurate models of current flow for precise targeting and current source reconstruction. At a minimum, such modeling must capture the idiosyncratic anatomy of the brain, cerebrospinal fluid (CSF) and skull for each individual subject. Currently, the process to build such h...

The chapter will describe a new integrated approach to data mining by seamlessly combining business intelligence software functions with manual graphical analysis capabilities with automated data mining techniques. The integrated approach provides an analytic system that supports the KDD process in an integrated manner. Furthermore it recognizes the importance of manual analysis as an important...

OBJECTIVE Enzyme-linked immunosorbent assays (ELISAs) are widely used to quantify immunoglobulin levels induced by infection or vaccination. Compared to conventional manual assays, automated ELISA systems offer more accurate and reproducible results, faster turnaround times and cost effectiveness due to the use of multianalyte reagents. DESIGN The VaccZyme™ Human Anti-Haemophilus influenzae t...