Feature Learning Using Stacked Autoencoder for Shared and Multimodal Fusion of Medical Images

Computational Intelligence: Theories, Applications and Future Directions - Volume I - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-13-1132-1_5 ◽

2018 ◽

pp. 53-66 ◽

Author(s):

Vikas Singh ◽

Nishchal K. Verma ◽

Zeeshan Ul Islam ◽

Yan Cui

Keyword(s):

Medical Images ◽

Feature Learning ◽

Multimodal Fusion ◽

Stacked Autoencoder

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Feature learning using Stacked Autoencoder for Multimodal Fusion, Shared and Cross Learning on Medical Images

2019 IEEE Bombay Section Signature Conference (IBSSC) ◽

10.1109/ibssc47189.2019.8973087 ◽

2019 ◽

Author(s):

Zeeshan Ul Islam ◽

Vikas Singh ◽

Nishchal K. Verma

Keyword(s):

Medical Images ◽

Feature Learning ◽

Multimodal Fusion ◽

Stacked Autoencoder

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Robust feature learning by stacked autoencoder with maximum correntropy criterion

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2014.6854900 ◽

2014 ◽

Author(s):

Yu Qi ◽

Yueming Wang ◽

Xiaoxiang Zheng ◽

Zhaohui Wu

Keyword(s):

Feature Learning ◽

Stacked Autoencoder ◽

Maximum Correntropy Criterion

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Deep learning guided by an ontology for medical images classification using a multimodal fusion

2021 International Congress of Advanced Technology and Engineering (ICOTEN) ◽

10.1109/icoten52080.2021.9493469 ◽

2021 ◽

Author(s):

Hela Yahyaoui ◽

Fethi Ghazouani ◽

Imed Riadh Farah

Keyword(s):

Deep Learning ◽

Medical Images ◽

Multimodal Fusion

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Manifold Regularized Stacked Autoencoder for Feature Learning

2015 IEEE International Conference on Systems, Man, and Cybernetics ◽

10.1109/smc.2015.513 ◽

2015 ◽

Author(s):

Sicong Lu ◽

Huaping Liu ◽

Chunwen Li

Keyword(s):

Feature Learning ◽

Stacked Autoencoder

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Fast and Unsupervised Non-Local Feature Learning for Direct Volume Rendering of 3D Medical Images

10.1109/iros51168.2021.9636042 ◽

2021 ◽

Author(s):

Xinmei Fu ◽

Zhenzhou Shao ◽

Ying Qu ◽

Yong Guan ◽

Yibo Zou ◽

...

Keyword(s):

Volume Rendering ◽

Medical Images ◽

Feature Learning ◽

Local Feature ◽

Direct Volume Rendering ◽

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Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik’s Cube

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32251-9_46 ◽

2019 ◽

pp. 420-428 ◽

Author(s):

Xinrui Zhuang ◽

Yuexiang Li ◽

Yifan Hu ◽

Kai Ma ◽

Yujiu Yang ◽

...

Keyword(s):

Medical Images ◽

Feature Learning ◽

Rubik's Cube ◽

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Location detection of key areas in medical images based on Haar-like fusion contour feature learning

Technology and Health Care ◽

10.3233/thc-209040 ◽

2020 ◽

Vol 28 ◽

pp. 391-399

Author(s):

Shuchun Yu ◽

Qi Wang ◽

Changhai Ru ◽

Ming Pang

Keyword(s):

Medical Images ◽

Feature Learning ◽

Contour Feature ◽

Location Detection

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Detection of Application Layer DDoS attack by feature learning using Stacked AutoEncoder

2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT) ◽

10.1109/icctict.2016.7514608 ◽

2016 ◽

Author(s):

Satyajit Yadav ◽

Selvakumar Subramanian

Keyword(s):

Feature Learning ◽

Application Layer ◽

Ddos Attack ◽

Stacked Autoencoder

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Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-13969-8_10 ◽

2019 ◽

pp. 199-216

Author(s):

Siqi Liu ◽

Daguang Xu ◽

S. Kevin Zhou ◽

Sasa Grbic ◽

Weidong Cai ◽

...

Keyword(s):

Medical Images ◽

Feature Learning ◽

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FLDS: An Intelligent Feature Learning Detection System for Visualizing Medical Images Supporting Fetal Four-chamber Views

IEEE Journal of Biomedical and Health Informatics ◽

10.1109/jbhi.2021.3091579 ◽

2021 ◽

pp. 1-1

Author(s):

Sibo Qiao ◽

Shanchen Pang ◽

Gang Luo ◽

Silin Pan ◽

Taotao Chen ◽

...

Keyword(s):

Medical Images ◽

Detection System ◽

Feature Learning

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