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Full-Text Articles in Vision Science
A Deep Learning Approach For Semantic Segmentation And Its Application On Ctc., Samir Farag Harb
A Deep Learning Approach For Semantic Segmentation And Its Application On Ctc., Samir Farag Harb
Electronic Theses and Dissertations
This dissertation explores the modeling and analysis of medical images, focusing on the intricate task of colon segmentation and subsequent 3D reconstruction, which are critical steps in Computed Tomography Colonography (CTC) systems. The primary objective of this research is to develop precise segmentation approaches to enhance the accuracy of colon identification and reconstruction from abdominal CT scans. Three distinct segmentation approaches are proposed and evaluated: a Markov Random Field (MRF)-based approach, a convolutional neural network (CNN)-based deep learning (DL) approach, and a sequential episodic training with dual contrastive learning Approach (G-SET-DCL) that has a flavor of few-shot learning (FSL). To …
Investigating The Effect Of Dissolved Oxygen-Assisted Corneal Cross-Linking (Cxl) On Porcine Corneas, Julianni Dar
Investigating The Effect Of Dissolved Oxygen-Assisted Corneal Cross-Linking (Cxl) On Porcine Corneas, Julianni Dar
Electronic Theses and Dissertations
Corneal cross-linking is a clinical procedure that is known to stop the progression of keratoconus, an eye disease that affects the cornea’s structure, ultimately leading to vision loss in its advanced stages. The typical treatment plan includes riboflavin and UV-A exposure in the hope to increase the mechanical properties of the cornea. There are two types of CXL pathways, with Type-II CXL requiring oxygen. Naturally, the dissolved oxygen is limited in the cornea; therefore, limiting the effect of Type-II CXL. This study proposes to improve the Type-II CXL contribution by integrating dissolved oxygen during the standard CXL treatment used in …