Automatic segmentation of liver tumors
Dnr:
NAISS 2024/22-390
Type:
NAISS Small Compute
Principal Investigator:
Klas Modin
Affiliation:
Chalmers tekniska högskola
Start Date:
2024-03-13
End Date:
2025-04-01
Primary Classification:
10105: Computational Mathematics
Webpage:
Allocation
Abstract
This project is about using ML-based algorithms for automatic segmentation of liver tumors, and then compare with traditional, computer vision-based solutions. The project is mainly carried out by two Master Thesis students in Applied Mathematics, both with prior knowledge of NN and the associated Python-based libraries (TensorFlow and PyTorch).