Studying Machine Learning Methodologies and a Web-Based Open-Source Software Tool for Analyzing Whole-Slide Images

Our research team has been working on the development of a new machine learning methodology and a web-based open-source software tool to address the accurate histologic feature identification and extraction of tissue fragments at various magnifications in the whole-slide images and an annotation-free web-based open-source software tool, enabling the domain experts to find the histologic features without the effort of annotation so that the histologic findings can be determined very quickly.

Research Requirements

Requirements for Student Researchers:
- Currently enrolled as an undergraduate student at Kennesaw State University
- Strong interest in Computer Vision.
- High analytical and computational thinking skills.
- Ability to work independently.
- Proficiency in Python, HTML, and JavaScript.
- Must be US citizens or permanent residents of the United States.

Duration

January 12, 2026 - May 01, 2026

Contact

Dr. Sanghoon Lee, slee297@kennesaw.edu