Radiology image analysis using deep learning
Dnr:
SNIC 2022/6-1
Type:
SNIC Medium Storage
Principal Investigator:
Ida Häggström
Affiliation:
Chalmers tekniska högskola
Start Date:
2022-04-25
End Date:
2023-05-01
Primary Classification:
20603: Medical Image Processing
Secondary Classification:
10207: Computer Vision and Robotics (Autonomous Systems)
Tertiary Classification:
30208: Radiology, Nuclear Medicine and Medical Imaging
Webpage:
Allocation
Abstract
We will perform medical image analysis in collaboration with the Sahlgrenska University hospital, to analyze large scale CT, MR and PET images. We will use large data cohorts (>1,000 cases per sub-study), including the national SCAPIS cohort (30,000 cases). Our aims are to design, train, and test deep learning models for automatic diagnosis, outcome prediction, and outlier detection in these images.