no code implementations • 8 Jun 2021 • Luka Posilović, Duje Medak, Marko Subasic, Marko Budimir, Sven Loncaric
By training only on generated data the results increased to 72. 1%, and by mixing generated and real data we achieve 75. 7% average precision.
no code implementations • 19 Mar 2020 • Julian Lo, Morgan Heisler, Vinicius Vanzan, Sonja Karst, Ivana Zadro Matovinovic, Sven Loncaric, Eduardo V. Navajas, Mirza Faisal Beg, Marinko V. Sarunic
The inter-rater comparisons for the SCP had an accuracy and Dice index of 0. 8300 and 0. 6700, respectively, and 0. 6874 and 0. 7416 for the DVC.
no code implementations • 25 Sep 2019 • Morgan Heisler, Forson Chan, Zaid Mammo, Chandrakumar Balaratnasingam, Pavle Prentasic, Gavin Docherty, MyeongJin Ju, Sanjeeva Rajapakse, Sieun Lee, Andrew Merkur, Andrew Kirker, David Albiani, David Maberley, K. Bailey Freund, Mirza Faisal Beg, Sven Loncaric, Marinko V. Sarunic, Eduardo V. Navajas
This study demonstrates the utility of deep neural networks for automatic quantification of foveal avascular zone (FAZ) parameters and perifoveal vessel density of OCT-A images in healthy and diabetic eyes.