000009485 001__ 9485
000009485 005__ 20240124114323.0
000009485 0247_ $$2DOI$$a10.6083/vd66w065f
000009485 037__ $$aETD
000009485 245__ $$aGuided by objective metrics: reducing researcher bias in biomedical image analysis
000009485 260__ $$bOregon Health and Science University
000009485 269__ $$a2022
000009485 336__ $$aDissertation
000009485 502__ $$bPh.D.
000009485 520__ $$aAn increasing amount of attention is being given to the structural and morphological aspects of biological function, and by extension the computational challenges necessary to understand them are becoming increasingly important. In cancer re-search, structural changes in the tumor microenvironment and state changes in the cells, as well as the spatial distributions of proteins at both the tissue and cellular levels are key to understanding cancer progression and evolution. Imaging modalities are integral to the development of morpho-spatial analysis because they allow us to capture the structural information in tangent to the expression information across many different biological scales with high resolution.
000009485 542__ $$fIn copyright - single owner
000009485 650__ $$aDeep Learning$$012734
000009485 6531_ $$aimage analysis
000009485 6531_ $$asingle cell analysis
000009485 6531_ $$afeature extraction
000009485 6531_ $$amultiplex imaging
000009485 6531_ $$asegmentation
000009485 691__ $$aSchool of Medicine$$041369
000009485 692__ $$aDepartment of Biomedical Engineering$$041397
000009485 7001_ $$aTernes, Luke
000009485 8564_ $$94387f876-b032-43c2-a537-dab00878d6bf$$s50697954$$uhttps://digitalcollections.ohsu.edu/record/9485/files/Ternes.Lukes.2022.pdf
000009485 905__ $$a/rest/prod/vd/66/w0/65/vd66w065f
000009485 909CO $$ooai:digitalcollections.ohsu.edu:9485$$pstudent-work
000009485 980__ $$aTheses and Dissertations