Study program: 222 Medicine

Degree: Master

Type of module: lectures, practical work

Lecturer: Dr. Iryna Muryzina

Language: English

Credit Points: 3 ECTS

Description:
This educational module explores the principles and applications of digital processing techniques for data obtained through endoscopy. As medical imaging continues to advance, the ability to extract, analyze, and enhance information from endoscopic procedures is critical in improving diagnostic accuracy and patient outcomes. The module provides an overview of endoscopic data acquisition, including video and imaging formats, followed by an introduction to preprocessing techniques such as noise reduction, contrast enhancement, and feature extraction. Advanced methods like image segmentation, 3D reconstruction, and AI-assisted analysis are also discussed, emphasizing their role in real-time diagnostics and surgical guidance. Designed for healthcare professionals, biomedical engineers, and researchers, the module bridges the gap between clinical practice and digital innovation, fostering a deeper understanding of how computational methods can transform endoscopic data into actionable medical insights.