Graduation Semester and Year
Spring 2024
Language
English
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Computer Science and Engineering
First Advisor
Christopher McMurough
Second Advisor
Chris Conly
Third Advisor
Shawn Gieser
Abstract
The goal of this project was to create an image segmentation model that would extract an image of H&E pathology slides from real life scenarios. This was a part of a project that required the extraction of an image, querying of the image, and displaying the results. The baselines of the model were to be efficient, run on mobile devices, and be able to work with cameras of varying resolutions.
Keywords
pathology slide, image segmentation
Disciplines
Other Engineering
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Mohamed, Mohamed, "Pathology Slide Segmentation" (2024). Computer Science and Engineering Theses. 8.
https://mavmatrix.uta.edu/cse_theses/8