Browsing by Subject "segmentation"
Now showing items 1-5 of 5
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Adaptive Filtering for Breast Computed Tomography: An Improvement on Current Segmentation Methods for Creating Virtual Breast Phantoms
(2015)Computerized breast phantoms have been popular for low-cost alternatives to collecting clinical data by combing them with highly realistic simulation tools. Image segmentation of three-dimensional breast computed tomography ... -
Automatic Volumetric Analysis of the Left Ventricle in 3D Apical Echocardiographs
(2015)Apically-acquired 3D echocardiographs (echoes) are becoming a standard data component in the clinical evaluation of left ventricular (LV) function. Ejection fraction (EF) is one of the key quantitative biomarkers derived ... -
Graph Theory and Dynamic Programming Framework for Automated Segmentation of Ophthalmic Imaging Biomarkers
(2014)Accurate quantification of anatomical and pathological structures in the eye is crucial for the study and diagnosis of potentially blinding diseases. Earlier and faster detection of ophthalmic imaging biomarkers also leads ... -
High-resolution, anthropomorphic, computational breast phantom: fusion of rule-based structures with patient-based anatomy
(2017)While patient-based breast phantoms are realistic, they are limited by low resolution due to the image acquisition and segmentation process. The purpose of this study is to restore the high frequency components ... -
Imaging at the Limits: Segmentation Error Bounds and High Resolution Retinal Imaging Systems
(2018)The human retina is essential to quality of life and therefore a topic of intense clinical and research interest. The combination of this interest with modern biophotonics has yielded a number of technological and medical ...
