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Articles 1 - 4 of 4
Full-Text Articles in Entire DC Network
Automatic Atlas Based Analysis Of Radiotracer Uptake In Bones From Fused Nuclear Imaging/Ct Data Sets Of Mice, Jeffrey Lee Vanoss
Automatic Atlas Based Analysis Of Radiotracer Uptake In Bones From Fused Nuclear Imaging/Ct Data Sets Of Mice, Jeffrey Lee Vanoss
Masters Theses
Preclinical in vivo imaging is a powerful tool used for a wide variety of biomedical research applications including oncology, cardiac disease, and neurological disease. Disease physiology can be imaged in vivo with molecular imaging such as PET and SPECT. Quality analysis of molecular in vivo images currently requires an expert technician. The feasibility of large preclinical molecular imaging studies is limited by the man hours required to process the overwhelming amount of data created from preclinical scans. Our proposed solution to the bottle neck of manual image analysis is to implement automation of preclinical molecular image analysis. The method described …
Flatbed Scanner Report - Optical Density Dynamic Range, George Mcnamara
Flatbed Scanner Report - Optical Density Dynamic Range, George Mcnamara
George McNamara
George McNamara (now at University of Miami) report for Hua Yu and Richard Jove, City of Hope National Medical Center, on optical density dynamic range of several flatbed scanners.
Mcnamara 2011 Feature Extraction (Image Analysis), George Mcnamara
Mcnamara 2011 Feature Extraction (Image Analysis), George Mcnamara
George McNamara
Feature Extraction presentation and movies in a ZIP file from a presentation I gave at ISAC 2011 in Baltomore, Md.
Feature extraction is one phrase for image analysis.
Statistical Methods For Proteomic Biomarker Discovery Based On Feature Extraction Or Functional Modeling Approaches, Jeffrey S. Morris
Statistical Methods For Proteomic Biomarker Discovery Based On Feature Extraction Or Functional Modeling Approaches, Jeffrey S. Morris
Jeffrey S. Morris
In recent years, developments in molecular biotechnology have led to the increased promise of detecting and validating biomarkers, or molecular markers that relate to various biological or medical outcomes. Proteomics, the direct study of proteins in biological samples, plays an important role in the biomarker discovery process. These technologies produce complex, high dimensional functional and image data that present many analytical challenges that must be addressed properly for effective comparative proteomics studies that can yield potential biomarkers. Specific challenges include experimental design, preprocessing, feature extraction, and statistical analysis accounting for the inherent multiple testing issues. This paper reviews various computational …