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Photoacoustic Imaging For Ovarian Cancer Detection: System Development And Classification Algorithm, Hai Li
Photoacoustic Imaging For Ovarian Cancer Detection: System Development And Classification Algorithm, Hai Li
Doctoral Dissertations
Ovarian cancer is relatively rare but it has the highest mortality with a five-year survival rate of only 30% comparing with other gynecologic cancers. Most of ovarian cancers are diagnosed at late stages because of no efficacious screening techniques. So there is an urgent need to develop new imaging techniques for early stage ovarian cancer detection. Photoacoustic imaging (PAI) inherently combines the merits of optical imaging and ultrasound imaging. In PAI, photoacoustic waves are generated by illuminating tissue samples with a short laser pulse. Photoacoustic waves are then measured by ultrasound transducers to reconstruct optical absorption at ultrasound resolution, which …
Classification And Multiple Hypothesis Testing In Microarray And Rna-Seq Experiments, Patrick B. Harrington
Classification And Multiple Hypothesis Testing In Microarray And Rna-Seq Experiments, Patrick B. Harrington
Doctoral Dissertations
This thesis focuses on analyzing the type of data returned by two pieces of technology, the older and less expensive microarray, or the next generation sequencing data, RNA-Seq. Both devices return data that is extremely large in volume. Microarray analysis begins by finding genes of interest, which are called differentially expressed (DE). Genes are called DE controlling for some criteria, such as false discovery rate (FDR), and then clustered into groups. A method unifying these two steps was suggested, using a mixture of normal distributions with the appropriate EM algorithm. We compare this to a semi-parametric alternative to the unified …