Search Results for author: Gorana Gojić

Found 3 papers, 0 papers with code

Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematurity

no code implementations20 Jun 2023 Gorana Gojić, Veljko Petrović, Radovan Turović, Dinu Dragan, Ana Oros, Dušan Gajić, Nebojša Horvat

All three solutions segment alongside retinal also choroidal blood vessels which are not used to diagnose retinopathy of prematurity, but instead represent noise and are confused with retinal blood vessels.

Segmentation

Overview of Deep Learning Methods for Retinal Vessel Segmentation

no code implementations1 Jun 2023 Gorana Gojić, Ognjen Kundačina, Dragiša Mišković, Dinu Dragan

Methods for automated retinal vessel segmentation play an important role in the treatment and diagnosis of many eye and systemic diseases.

Retinal Vessel Segmentation Segmentation

Non-adversarial Robustness of Deep Learning Methods for Computer Vision

no code implementations24 May 2023 Gorana Gojić, Vladimir Vincan, Ognjen Kundačina, Dragiša Mišković, Dinu Dragan

Non-adversarial robustness, also known as natural robustness, is a property of deep learning models that enables them to maintain performance even when faced with distribution shifts caused by natural variations in data.

Adversarial Robustness Non-Adversarial Robustness

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