DIKU Bits: Introduction to medical image segmentation

Speaker

Bulat Ibragimov, Ph.D and Assistant Professor of Machine Learning and Medical Imaging at the Department of Computer Science.

Abstract

Medical image segmentation is the process of detecting and outlining objects, such as human organs and abnormal malformations in X-rays, computed tomography, magnetic resonance, and other image modalities. Medical image segmentation plays a critical role in disease diagnosis, treatment planning, and post-treatment monitoring. Automation of medical image segmentation has been of great interest to the research community for the last years. This lecture will introduce the technical concept of medical image segmentation, highlight the main clinical directions for image segmentation, and familiarize the audience with basic algorithms in medical image segmentation.

About DIKU Bits

DIKU Bits is an open and free lecture series hosted by Department of Computer Science (DIKU) targeted at bachelor students at DIKU and related areas – but open for everyone interested.​