A novel end-to-end brain tumor segmentation method using improved fully convolutional networks

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2019.03.014 ◽

2019 ◽

Vol 108 ◽

pp. 150-160 ◽

Author(s):

Haichun Li ◽

Ao Li ◽

Minghui Wang

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Segmentation Method ◽

Brain Tumor Segmentation ◽

Convolutional Networks ◽

Fully Convolutional Networks ◽

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Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-319-75238-9_15 ◽

2018 ◽

pp. 169-177 ◽

Author(s):

Richard McKinley ◽

Alain Jungo ◽

Roland Wiest ◽

Mauricio Reyes

Keyword(s):

Brain Tumor ◽

Semantic Segmentation ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Convolutional Networks ◽

Fully Convolutional Networks

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Glioblastomas brain Tumor Segmentation using Optimized U-Net based on Deep Fully Convolutional Networks (D-FCNs)

2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) ◽

10.1109/atsip49331.2020.9231681 ◽

2020 ◽

Author(s):

Hiba Mzoughi ◽

Ines Njeh ◽

Mohamed Ben Slima ◽

Ahmed Benhamida

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Convolutional Networks ◽

Fully Convolutional Networks

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Brain Tumor Segmentation Using Fully Convolutional Networks from Magnetic Resonance Imaging

Journal of Medical Imaging and Health Informatics ◽

10.1166/jmihi.2018.2502 ◽

2018 ◽

Vol 8 (8) ◽

pp. 1546-1553 ◽

Author(s):

Changjiang Zhang ◽

Mingchao Fang ◽

Huanhuan Nie

Keyword(s):

Magnetic Resonance Imaging ◽

Brain Tumor ◽

Magnetic Resonance ◽

Tumor Segmentation ◽

Resonance Imaging ◽

Brain Tumor Segmentation ◽

Convolutional Networks ◽

Fully Convolutional Networks

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Brain Tumor Segmentation Using Concurrent Fully Convolutional Networks and Conditional Random Fields

Proceedings of the 3rd International Conference on Multimedia and Image Processing - ICMIP 2018 ◽

10.1145/3195588.3195590 ◽

2018 ◽

Author(s):

Guangyu Shen ◽

Yi Ding ◽

Tian Lan ◽

Hao Chen ◽

Zhiguang Qin

Keyword(s):

Brain Tumor ◽

Random Fields ◽

Conditional Random Fields ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Convolutional Networks ◽

Fully Convolutional Networks

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MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-319-75238-9_18 ◽

2018 ◽

pp. 204-215 ◽

Author(s):

Mohammadreza Soltaninejad ◽

Lei Zhang ◽

Tryphon Lambrou ◽

Guang Yang ◽

Nigel Allinson ◽

...

Keyword(s):

Brain Tumor ◽

Random Forests ◽

Patient Survival ◽

Tumor Segmentation ◽

Survival Prediction ◽

Brain Tumor Segmentation ◽

Convolutional Networks ◽

Mri Brain ◽

Fully Convolutional Networks

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End-to-End Nested Multi-Attention Network for 3D Brain Tumor Segmentation

Cognitive Computing – ICCC 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59585-2_6 ◽

2020 ◽

pp. 62-76

Author(s):

Xinrui Zhuang ◽

Yujiu Yang

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Attention Network ◽

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A Novel Improved Brain Tumor Segmentation Method Using Deep Learning Network

Journal of Physics Conference Series ◽

10.1088/1742-6596/1944/1/012011 ◽

2021 ◽

Vol 1944 (1) ◽

pp. 012011

Author(s):

Haoyuan Yan ◽

Aiguo Chen

Keyword(s):

Deep Learning ◽

Brain Tumor ◽

Tumor Segmentation ◽

Segmentation Method ◽

Brain Tumor Segmentation ◽

Learning Network ◽

Deep Learning Network

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ToStaGAN: An End-to-End Two-Stage Generative Adversarial Network for Brain Tumor Segmentation

Neurocomputing ◽

10.1016/j.neucom.2021.07.066 ◽

2021 ◽

Author(s):

Yi Ding ◽

Chao Zhang ◽

Mingsheng Cao ◽

Yilei Wang ◽

Dajiang Chen ◽

...

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Two Stage ◽

Generative Adversarial Network ◽

Brain Tumor Segmentation ◽

Adversarial Network ◽

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A Novel Brain Tumor Segmentation Method for Multi-Modality Human Brain MRIs

International Journal of Multimedia and Ubiquitous Engineering ◽

10.14257/ijmue.2015.10.11.11 ◽

2015 ◽

Vol 10 (11) ◽

pp. 115-122

Author(s):

Tianming Zhan ◽

Shenghua Gu ◽

Lei Jiang ◽

Yongzhao Zhan

Keyword(s):

Brain Tumor ◽

Human Brain ◽

Tumor Segmentation ◽

Segmentation Method ◽

Brain Tumor Segmentation

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ENS-Unet: End-to-End Noise Suppression U-Net for Brain Tumor Segmentation

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2018.8513676 ◽

2018 ◽

Author(s):

Zhu Meng ◽

Zhongyue Fan ◽

Zhicheng Zhao ◽

Fei Su

Keyword(s):

Brain Tumor ◽

Noise Suppression ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

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