Abstract
Pathological structures in medical images are typically deviations from the expected anatomy of a patient. While clinicians consider this interplay between anatomy and pathology, recent deep learning algorithms specialize in recognizing either one of the two, rarely considering the patient’s body from such a joint perspective.
Type
Publication
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
Constantin Seibold
Team Lead Computer Vision
Lukas Heine
PhD Student
Ken Herrmann
Chair Department of Nuclear Medicine
Rainer Stiefelhagen
Director Computer Vision for Human-Computer Interaction Lab
