Date of Award
Spring 5-2024
Document Type
Thesis
Publication Status
Version of Record
Submission Date
September 2026
College Granting Degree
Harriet L. Wilkes Honors College
Thesis/Dissertation Advisor [Chair]
Terje Hill
Abstract
The ability to extract meaningful insights from medical images is paramount in healthcare. This thesis surveys the evolution of medical imaging modalities and analysis, from analog methods to today’s deep learning-based approaches. It explores current challenges–namely, the lack of trust and interpretability of deep learning models in the healthcare domain. Practical MATLAB “how-to” recipes are proposed to aid researchers, students, developers, and practitioners in the field of medical image analysis. The overarching goal is to empower future users with the skills to navigate the modern applications of medical image analysis and instill trust in these tools.
Recommended Citation
Pastore, Amparo Godoy, "EXPLORING MEDICAL IMAGE PROCESSING AND ANALYSIS TOOLS: A MATLAB “COOKBOOK”" (2024). Harriet L Wilkes Honors College Theses. 76.
https://digitalcommons.fau.edu/etd_honors/76