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Robust localization of organs in computed tomography scans is a constant pre-processing requirement for organ-specific image retrieval, radiotherapy planning, and interventional image analysis.
Fast multiple organ detection and localization in whole-body mr dixon sequences
Olivier Pauly, Ben Glocker, Antonio Criminisi, Diana Mateus, Axel Martinez Möller, Stephan Nekolla, and Nassir Navab · 2011
Earlier work this paper cites.
Automatic localization of solid organs on 3d ct images by a collaborative majority voting decision based on ensemble learning
Xiangrong Zhou, Song Wang, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, and Hiroshi Fujita · 2012
Earlier work this paper cites.
Regression forests for efficient anatomy detection and localization in computed tomography scans
Antonio Criminisi, Duncan Robertson, Ender Konukoglu, Jamie Shotton, Sayan Pathak, Steve White, and Khan Siddiqui · 2013
Earlier work this paper cites.
Active object localization with deep reinforcement learning
Juan C Caicedo and Svetlana Lazebnik · 2015
Earlier work this paper cites.
Multi-organ localization with cascaded global-to-local regression and shape prior
Romane Gauriau, Rémi Cuingnet, David Lesage, and Isabelle Bloch · 2015
Earlier work this paper cites.
Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
Earlier work this paper cites.
Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: Visceral anatomy benchmarks
Oscar Jimenez-del Toro, Henning Müller, Markus Krenn, Katharina Gruenberg, Abdel Aziz Taha, Marianne Winterstein, Ivan Eggel, Antonio Foncubierta-Rodríguez, Orcun Goksel, András Jakab, et al · 2016
Cited alongside, same era.
Convnet-based localization of anatomical structures in 3-d medical images
Bob D de Vos, Jelmer M Wolterink, Pim A de Jong, Tim Leiner, Max A Viergever, and Ivana Išgum · 2017
Cited alongside, same era.
Multi-scale deep reinforcement learning for real-time 3d-landmark detection in ct scans
Florin-Cristian Ghesu, Bogdan Georgescu, Yefeng Zheng, Sasa Grbic, Andreas Maier, Joachim Hornegger, and Dorin Comaniciu · 2017
Cited alongside, same era.
Segmentation-free kidney localization and volume estimation using aggregated orthogonal decision cnns
Mohammad Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, and Rafeef Abugharbieh · 2017
Cited alongside, same era.
Deep reinforcement learning for active breast lesion detection from dce-mri
Gabriel Maicas, Gustavo Carneiro, Andrew P Bradley, Jacinto C Nascimento, and Ian Reid · 2017
Organ detection in thorax abdomen ct using multi-label convolutional neural networks
Gabriel Efrain Humpire Mamani, Arnaud Arindra Adiyoso Setio, Bram van Ginneken, and Colin Jacobs · 2017
Later among the works it cites.
Light random regression forests for automatic multi-organ localization in ct images
Prasad N Samarakoon, Emmanuel Promayon, and Céline Fouard · 2017
Later among the works it cites.
Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen ct scans
Gabriel Efrain Humpire-Mamani, Arnaud Arindra Adiyoso Setio, Bram van Ginneken, and Colin Jacobs · 2018
Later among the works it cites.
Evaluating reinforcement learning agents for anatomical landmark detection
Amir Alansary, Ozan Oktay, Yuanwei Li, Loic Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, et al · 2019
Later among the works it cites.
Efficient multiple organ localization in ct image using 3d region proposal network
Xuanang Xu, Fugen Zhou, Bo Liu, Dongshan Fu, and Xiangzhi Bai · 2019
Later among the works it cites.
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Cited alongside, same era.