Browsing OU - Dissertations by Subject "Deep Learning"
Now showing items 1-4 of 4
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Application of deep learning to optimize computer-aided-detection and diagnosis of medical images
(2023-12-15)The field of medical imaging informatics has experienced significant advancements with the integration of artificial intelligence (AI), especially in tasks like detecting abnormalities in retinal fundus images. This ... -
Automatic Machine Learning in Optimization and Data Augmentation
(2022-05)This dissertation introduces Automatic Machine Learning (AutoML) as a potential approach to overcome current deep learning challenges on efficiency and cost. It also proposes two novel AutoML workflows to areas in deep ... -
DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS
(2018-12-14)Diagnostic medical imaging is an important non-invasive tool in medicine. It provides doctors (i.e., radiologists) with rich diagnostic information in clinical practice. Computer-aided diagnosis (CAD) schemes aim to provide ... -
Interpretable deep neural networks for more accurate predictive genomics and genome-wide association studies
(2023-05)Genome-wide association studies (GWAS) and predictive genomics have become increasingly important in genetics research over the past decade. GWAS involves the analysis of the entire genome of a large group of individuals ...