Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images

1 code implementation • 21 Jun 2022 • Marin Benčević, Marija Habijan, Irena Galić, Danilo Babin

In this paper, we present a general approach to improving the semantic segmentation performance of neural networks in these tasks and validate our approach on the task of aorta segmentation.

Image Segmentation Medical Image Segmentation +2

A Survey of Left Atrial Appendage Segmentation and Analysis in 3D and 4D Medical Images

no code implementations • 13 May 2022 • Hrvoje Leventić, Marin Benčević, Danilo Babin, Marija Habijan, Irena Galić

Atrial fibrillation (AF) is a cardiovascular disease identified as one of the main risk factors for stroke.

Training on Polar Image Transformations Improves Biomedical Image Segmentation

1 code implementation • IEEE Access 2021 • Marin Benčević, Irena Galić, Marija Habijan, Danilo Babin

We show that our method produces state-of-the-art results for lesion, liver, and polyp segmentation and performs better than most common neural network architectures for biomedical image segmentation.

Image Segmentation Lesion Segmentation +4