Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-32456-8_66 ◽

2019 ◽

pp. 601-608

Author(s):

Jian Song ◽

Sihang Zhu ◽

Lanfen Lin ◽

Hongjie Hu ◽

Yen-Wei Chen

Keyword(s):

Subspace Learning ◽

Ct Images ◽

Focal Liver Lesions ◽

Liver Lesions ◽

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CasCRNN-GL-Net: cascaded convolutional and recurrent neural networks with global and local pathways for classification of focal liver lesions in multi-phase CT images

Communications in Information and Systems ◽

10.4310/cis.2020.v20.n4.a2 ◽

2020 ◽

Vol 20 (4) ◽

pp. 415-442

Author(s):

Dong Liang ◽

Yingying Xu ◽

Lanfen Lin ◽

Nan Zhou ◽

Hongjie Hu ◽

...

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Ct Images ◽

Focal Liver Lesions ◽

Liver Lesions ◽

Multi Phase ◽

Global And Local

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Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00934-2_74 ◽

2018 ◽

pp. 666-675 ◽

Author(s):

Dong Liang ◽

Lanfen Lin ◽

Hongjie Hu ◽

Qiaowei Zhang ◽

Qingqing Chen ◽

...

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Ct Images ◽

Focal Liver Lesions ◽

Liver Lesions ◽

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Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions

Pattern Recognition Letters ◽

10.1016/j.patrec.2019.01.001 ◽

2020 ◽

Vol 130 ◽

pp. 207-215 ◽

Author(s):

Jian Wang ◽

Jing Li ◽

Xian-Hua Han ◽

Lanfen Lin ◽

Hongjie Hu ◽

...

Keyword(s):

Medical Images ◽

Sparse Representations ◽

Focal Liver Lesions ◽

Liver Lesions ◽

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Estimation of Necrosis Volumes in Focal Liver Lesions Based on Multi-phase Hepatic CT Images

Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25719-3_9 ◽

2011 ◽

pp. 60-67 ◽

Author(s):

June-Goo Lee ◽

Wenli Cai ◽

Anand Singh ◽

Hiroyuki Yoshida

Keyword(s):

Ct Images ◽

Focal Liver Lesions ◽

Liver Lesions ◽

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Combined Density, Texture and Shape Features of Multi-phase Contrast-Enhanced CT Images for CBIR of Focal Liver Lesions: A Preliminary Study

Innovation in Medicine and Healthcare 2015 - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-319-23024-5_20 ◽

2015 ◽

pp. 215-224 ◽

Author(s):

Yingying Xu ◽

Lanfen Lin ◽

Hongjie Hu ◽

Huajun Yu ◽

Chongwu Jin ◽

...

Keyword(s):

Phase Contrast ◽

Ct Images ◽

Focal Liver Lesions ◽

Liver Lesions ◽

Shape Features ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Preliminary Study ◽

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Automated Retrieval of Focal Liver Lesions in Multi-phase CT Images Using Tensor Sparse Representation

Innovation in Medicine and Healthcare - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-16-3013-2_18 ◽

2021 ◽

pp. 217-227

Author(s):

Jian Wang ◽

Junlin Zhao ◽

Xian-Hua Han ◽

Lanfen Lin ◽

Hongjie Hu ◽

...

Keyword(s):

Sparse Representation ◽

Ct Images ◽

Focal Liver Lesions ◽

Liver Lesions ◽

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Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2019.8857292 ◽

2019 ◽

Author(s):

Yoshihiro Todoroki ◽

Yutaro Iwamoto ◽

Lanfen Lin ◽

Hongjie Hu ◽

Yen-Wei Chen

Keyword(s):

Automatic Detection ◽

Ct Images ◽

Focal Liver Lesions ◽

Liver Lesions ◽

Multi Scale ◽

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Classification of focal liver lesions in CT images using convolutional neural networks with lesion information augmented patches and synthetic data augmentation

Medical Physics ◽

10.1002/mp.15118 ◽

2021 ◽

Author(s):

Hansang Lee ◽

Haeil Lee ◽

Helen Hong ◽

Heejin Bae ◽

Joon Seok Lim ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Data Augmentation ◽

Synthetic Data ◽

Ct Images ◽

Focal Liver Lesions ◽

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Application of Texture Features for Classification of Primary Benign and Primary Malignant Focal Liver Lesions

Image Feature Detectors and Descriptors - Studies in Computational Intelligence ◽

10.1007/978-3-319-28854-3_15 ◽

2016 ◽

pp. 385-409 ◽

Author(s):

Nimisha Manth ◽

Jitendra Virmani ◽

Vinod Kumar ◽

Naveen Kalra ◽

Niranjan Khandelwal

Keyword(s):

Texture Features ◽

Focal Liver Lesions ◽

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Diagnostic Support Systems and Computational Intelligence

Machine Learning ◽

10.4018/978-1-60960-818-7.ch511 ◽

2012 ◽

pp. 1374-1388

Author(s):

Stavroula Mougiakakou ◽

Ioannis Valavanis ◽

Alexandra Nikita ◽

Konstantina S. Nikita

Keyword(s):

Computational Intelligence ◽

Research Team ◽

Support Systems ◽

Ct Images ◽

Focal Liver Lesions ◽

Liver Lesions ◽

Enhanced Ct ◽

Hepatic Lesions ◽

Computational Intelligence Methods ◽

Diagnostic Support

Recent advances in computer science provide the intelligent computation tools needed to design and develop Diagnostic Support Systems (DSSs) that promise to increase the efficiency of physicians during their clinical practice. This chapter provides a brief overview of the use of computational intelligence methods in the design and development of DSSs aimed at the differential diagnosis of hepatic lesions from Computed Tomography (CT) images. Furthermore, examples of DSSs developed by our research team for supporting the diagnosis of focal liver lesions from non-enhanced CT images are presented.

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