Sep 13, 2018 · In this work, we propose a unified end-to-end deep reinforcement learning approach for robust vessel centerline tracing in multi-modality 3D medical volumes.

The paper proposes a new method for tracing using deep reinforcement learning (DRL). However the paper uses a heavily handcrafted reward function which may be ...

This work proposes a unified end-to-end deep reinforcement learning approach for robust vessel centerline tracing in multi-modality 3D medical volumes to ...

Sep 16, 2018 · In this work, we propose a unified end-to-end deep reinforcement learning approach for robust vessel centerline tracing in multi-modality 3D ...

Zhang P., Wang F., Zheng Y. Deep reinforcement learning for vessel centerline tracing in multi-modality 3D volumes. International Conference on Medical Image ...

Deep reinforcement learning for vessel centerline tracing in multi-modality 3D volumes. P Zhang, F Wang, Y Zheng. Medical Image Computing and Computer Assisted ...

Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes · Pengyue Zhang, Fusheng Wang, Yefeng Zheng. 2018 (modified: 04 Nov 2022) ...

In this paper, an online deep reinforcement learning method for coronary centerline extraction is proposed based on the prior vascular skeleton.

In this work, we propose a unified end-to-end deep reinforcement learning approach for robust vessel centerline tracing in multi-modality 3D medical volumes.

7 Vessel centerline extraction. Zhang et al. (2018) propose to use deep reinforcement learning for vessel centerline tracing in multi-modality 3D volumes.