000009743 001__ 9743
000009743 005__ 20240124114329.0
000009743 0247_ $$2DOI$$a10.6083/v118rf271
000009743 037__ $$aETD
000009743 245__ $$aMachine Learning for medical image analysis - registration, segmentation, characterization and tracking
000009743 260__ $$bOregon Health and Science University
000009743 269__ $$a2022
000009743 336__ $$aThesis
000009743 502__ $$bPh.D.
000009743 520__ $$aMedical images provide a non-invasive means of assessing structural and functional changes within the human body. They are a rich source of information on the internal body structures and play a vital role in helping doctors diagnose, monitor and treat various medical conditions. Each imaging technique is unique in terms of the image it captures and the information it provides regarding the area of the body under study. Such information helps in providing diagnosis of a disease without the need for expensive invasive procedures, sparing patients risks and reducing treatment costs. It also helps in early diagnosis of several diseases, including cancer and Alzheimer's disease, providing an early opportunity to start treatment.
000009743 650__ $$aAlzheimer Disease$$014513
000009743 650__ $$aMachine Learning$$011449
000009743 6531_ $$adigital image processing
000009743 691__ $$aSchool of Medicine$$041369
000009743 692__ $$aDepartment of Computer Science and Engineering$$041405
000009743 7001_ $$aMachireddy, Archana
000009743 8564_ $$93a611b36-e973-4147-acc3-98186df6933e$$s26336316$$uhttps://digitalcollections.ohsu.edu/record/9743/files/Archana.Machireddy.2022.pdf
000009743 905__ $$a/rest/prod/v1/18/rf/27/v118rf271
000009743 909CO $$ooai:digitalcollections.ohsu.edu:9743$$pstudent-work
000009743 980__ $$aTheses and Dissertations