TY - GEN
T1 - Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images
AU - Leroy, Guy
AU - Rueckert, Daniel
AU - Alansary, Amir
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Accurate detection of anatomical landmarks is an essential step in several medical imaging tasks. We propose a novel communicative multi-agent reinforcement learning (C-MARL) system to automatically detect landmarks in 3D medical scans. C-MARL enables the agents to learn explicit communication channels, as well as implicit communication signals by sharing certain weights of the architecture among all the agents. The proposed approach is evaluated on two brain imaging datasets from adult magnetic resonance imaging (MRI) and fetal ultrasound scans. Our experiments show that involving multiple cooperating agents by learning their communication with each other outperforms previous approaches using single agents.
AB - Accurate detection of anatomical landmarks is an essential step in several medical imaging tasks. We propose a novel communicative multi-agent reinforcement learning (C-MARL) system to automatically detect landmarks in 3D medical scans. C-MARL enables the agents to learn explicit communication channels, as well as implicit communication signals by sharing certain weights of the architecture among all the agents. The proposed approach is evaluated on two brain imaging datasets from adult magnetic resonance imaging (MRI) and fetal ultrasound scans. Our experiments show that involving multiple cooperating agents by learning their communication with each other outperforms previous approaches using single agents.
UR - http://www.scopus.com/inward/record.url?scp=85101575243&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-66843-3_18
DO - 10.1007/978-3-030-66843-3_18
M3 - Conference contribution
AN - SCOPUS:85101575243
SN - 9783030668426
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 177
EP - 186
BT - Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - 3rd International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Proceedings
A2 - Kia, Seyed Mostafa
A2 - Mohy-ud-Din, Hassan
A2 - Abdulkadir, Ahmed
A2 - Bass, Cher
A2 - Habes, Mohamad
A2 - Rondina, Jane Maryam
A2 - Tax, Chantal
A2 - Wang, Hongzhi
A2 - Wolfers, Thomas
A2 - Rathore, Saima
A2 - Ingalhalikar, Madhura
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and 2nd International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020
Y2 - 4 October 2020 through 8 October 2020
ER -