1 code implementation • 22 Jun 2022 • Zoltán Lőrincz, Márton Szemenyei, Róbert Moni
Imitation Learning uses the demonstrations of an expert to uncover the optimal policy and it is suitable for real-world robotics tasks as well.
1 code implementation • 18 Sep 2020 • Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou, Haodong Bian
In this work, we propose the Residual Spatial Attention Network (RSAN) for retinal vessel segmentation.
2 code implementations • 7 Apr 2020 • Changlu Guo, Márton Szemenyei, Yangtao Hu, Wenle Wang, Wei Zhou, Yugen Yi
Retinal vessel segmentation is a vital step for the diagnosis of many early eye-related diseases.
3 code implementations • 7 Apr 2020 • Changlu Guo, Márton Szemenyei, Yugen Yi, Wenle Wang, Buer Chen, Changqi Fan
The precise segmentation of retinal blood vessels is of great significance for early diagnosis of eye-related diseases such as diabetes and hypertension.
Ranked #3 on Retinal Vessel Segmentation on DRIVE
2 code implementations • 7 Apr 2020 • Changlu Guo, Márton Szemenyei, Yugen Yi, Ying Xue, Wei Zhou, Yangyuan Li
But for other retinal imaging modalities, more research is needed to explore vascular extraction.
1 code implementation • 23 Oct 2019 • Patrik Reizinger, Márton Szemenyei
Reinforcement Learning enables to train an agent via interaction with the environment.