2 citations · 5 across the 5 of their papers we have counts for
5 papers
Skin Color Measurement from Dermatoscopic Images: An Evaluation on a Synthetic Dataset
Marin Benčević, Robert Šojo, Irena Galić
This paper presents a comprehensive evaluation of skin color measurement methods from dermatoscopic images using a synthetic dataset (S-SYNTH) with controlled ground-truth melanin…
Evaluation Framework for Computer Vision-Based Guidance of the Visually Impaired
Krešimir Romić, Irena Galić, Marija Habijan +1
Visually impaired persons have significant problems in their everyday movement. Therefore, some of our previous work involves computer vision in developing assistance systems for g…
Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images
Marin Benčević, Marija Habijan, Irena Galić +1
Medical image segmentation often requires segmenting multiple elliptical objects on a single image. This includes, among other tasks, segmenting vessels such as the aorta in axial…
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis
Marin Benčević, Marija Habijan, Irena Galić +1
One of the largest problems in medical image processing is the lack of annotated data. Labeling medical images often requires highly trained experts and can be a time-consuming pro…
A Survey of Left Atrial Appendage Segmentation and Analysis in 3D and 4D Medical Images
Hrvoje Leventić, Marin Benčević, Danilo Babin +2
Atrial fibrillation (AF) is a cardiovascular disease identified as one of the main risk factors for stroke. The majority of strokes due to AF are caused by clots originating in the…