000009976 001__ 9976
000009976 005__ 20231129124949.0
000009976 0247_ $$2DOI$$a10.6083/b2773w37q
000009976 037__ $$aETD
000009976 245__ $$aApplications of deep learning in healthcare and the efficient adaptation of deep neural networks
000009976 260__ $$bOregon Health and Science University
000009976 269__ $$a2022
000009976 336__ $$aDissertation
000009976 502__ $$bPh.D.
000009976 520__ $$aApplied deep learning is an area that has been evolving rapidly in recent years and is now ubiquitous within the machine learning and artificial intelligence communities. In this work we aim to contribute meaningful innovations to the field of applied deep learning with an emphasis on healthcare applications.
000009976 542__ $$fIn copyright - single owner
000009976 650__ $$aDeep Learning$$012734
000009976 650__ $$aArtificial Intelligence$$015109
000009976 650__ $$aMachine Learning$$011449
000009976 691__ $$aSchool of Medicine$$041369
000009976 692__ $$aDepartment of Science and Engineering$$041447
000009976 7001_ $$aWallis, Phillip S.
000009976 8564_ $$94d2050e7-1910-4355-bd8e-ca785a52d485$$s4123057$$uhttps://digitalcollections.ohsu.edu/record/9976/files/Wallis.Phillip.2022.pdf
000009976 905__ $$a/rest/prod/b2/77/3w/37/b2773w37q
000009976 909CO $$ooai:digitalcollections.ohsu.edu:9976$$pstudent-work
000009976 980__ $$aTheses and Dissertations