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In the segmentation of fine-scale structures from natural and biomedical images, per-pixel accuracy is not the only metric of concern.
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Segmenting the papillary muscles and the trabeculae from high resolution cardiac ct through restoration of topological handles
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Semantic image segmentation with deep convolutional nets and fully connected crfs
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Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2014
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Tree topology estimation
Rolando Estrada, Carlo Tomasi, Scott C Schmidler, and Sina Farsiu · 2014
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Martin Ralf Oswald, Jan Stühmer, and Daniel Cremers · 2014
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Crowdsourcing the creation of image segmentation algorithms for connectomics
Ignacio Arganda-Carreras, Srinivas C Turaga, Daniel R Berger, Dan Cireşan, Alessandro Giusti, Luca M Gambardella, Jürgen Schmidhuber, Dmitry Laptev, Sarvesh Dwivedi, Joachim M Buhmann, et al · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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A stable multi-scale kernel for topological machine learning
Jan Reininghaus, Stefan Huber, Ulrich Bauer, and Roland Kwitt · 2015
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Optimal topological cycles and their application in cardiac trabeculae restoration
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Graph reconstruction by discrete morse theory
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High-precision automated reconstruction of neurons with flood-filling networks
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Agata Mosinska, Pablo Marquez-Neila, Mateusz Koziński, and Pascal Fua · 2018
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Topological function optimization for continuous shape matching
Adrien Poulenard, Primoz Skraba, and Maks Ovsjanikov · 2018
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A topological regularizer for classifiers via persistent homology
Chao Chen, Xiuyan Ni, Qinxun Bai, and Yusu Wang · 2019
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Road network reconstruction from satellite images with machine learning supported by topological methods
T. Dey, J. Wang, and Y. Wang · 2019
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Boundary-aware feature propagation for scene segmentation
Henghui Ding, Xudong Jiang, Ai Qun Liu, Nadia Magnenat Thalmann, and Gang Wang · 2019
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Connectivity-optimized representation learning via persistent homology
Christoph Hofer, Roland Kwitt, Mandar Dixit, and Marc Niethammer · 2019
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Topology-preserving deep image segmentation
Xiaoling Hu, Fuxin Li, Dimitris Samaras, and Chao Chen · 2019
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Reducing the hausdorff distance in medical image segmentation with convolutional neural networks
Davood Karimi and Septimiu E Salcudean · 2019
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Boundary loss for highly unbalanced segmentation
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, and Ismail Ben Ayed · 2019
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Diverse multiple prediction on neuron image reconstruction
Ze Ye, Cong Chen, Changhe Yuan, and Chao Chen · 2019
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Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks
Samik Banerjee, Lucas Magee, Dingkang Wang, Xu Li, Bing-Xing Huo, Jaikishan Jayakumar, Katherine Matho, Meng-Kuan Lin, Keerthi Ram, Mohanasankar Sivaprakasam, et al · 2020
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