Advanced Tool for Medical Image Analysis and Processing for Colorectal Cancer (CRC) Detection Using Artificial Intelligence
Principal Investigator
Name
Sebastian Kraszewski
Degrees
Associate Professor, PhD, Eng.
Institution
Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology
Position Title
Dissertation Advisor / Faculty Member
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCOI-1764
Initial CDAS Request Approval
Dec 16, 2024
Title
Advanced Tool for Medical Image Analysis and Processing for Colorectal Cancer (CRC) Detection Using Artificial Intelligence
Summary
The project aims to develop a medical image analysis tool for the early detection of colorectal cancer (CRC) using artificial intelligence. The system will process imaging data to identify potential indicators of CRC, utilizing advanced machine learning techniques to improve diagnostic precision. This project integrates computer vision, medical imaging, and biomedical engineering to create a practical solution for healthcare professionals.
Aims
Develop a robust and efficient medical image processing tool for CRC detection.
Incorporate advanced machine learning models (e.g., convolutional neural networks) for accurate diagnosis.
Validate the tool with clinical datasets to ensure reliability.
Enhance user experience with an intuitive interface for healthcare applications.
Compare the tool's diagnostic performance to traditional methods.
Collaborators
Dr. Sebastian Kraszewski, Faculty of Fundamental Problems of Technology, WUST