Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes

By Pengyue Zhang, Fusheng Wang, Yefeng Zheng. 2018

41 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Epidemiology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Shamim Nemati
2. Chao Yu
3. Jiming Liu

In Computer Vision and Pattern Recognition

1. Shamim Nemati
2. Chao Yu
3. Jiming Liu

In Epidemiology

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati
4. Guoqi Ren

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, methodology): “Several researchers also applied DQN methods in 3D medical image registration problems [113, 127, 145], active breast lesion detection from dynamic contrast-enhanced MRI [148], and robust vessel centerline tracing problems in multi-modality 3D medical volumes [251].”