Name
Title | ||
|---|---|---|
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans. |
Abstract | ||
|---|---|---|
Robust and fast detection of anatomical structures is a prerequisite for both diagnostic and interventional medical image analysis. Current solutions for anatomy detection are typically based on machine learning techniques that exploit large annotated image databases in order to learn the appearance of the captured anatomy. These solutions are subject to several limitations, including the use of s... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TPAMI.2017.2782687 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Machine learning,Biomedical imaging,Search problems,Training,Three-dimensional displays,Real-time systems | Computer vision,Object search,Pattern recognition,Medical imaging,Computer science,Exploit,Feature engineering,Artificial intelligence,Anatomical structures,Landmark,Reinforcement learning | Journal |
Volume | Issue | ISSN |
41 | 1 | 0162-8828 |
Citations | PageRank | References |
9 | 0.48 | 22 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florin C. Ghesu | 1 | 96 | 9.17 |
| Bogdan Georgescu | 2 | 1638 | 138.49 |
| Yefeng Zheng | 3 | 1391 | 114.67 |
| Sasa Grbic | 4 | 82 | 13.77 |
| Andreas K. Maier | 5 | 560 | 178.76 |
| Joachim Hornegger | 6 | 1734 | 190.62 |
| Dorin Comaniciu | 7 | 8389 | 601.83 |