Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science
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9783030466428, 9783030466435

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Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-Sequence MR Image Generation

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

10.1007/978-3-030-46643-5_3 ◽

2020 ◽

pp. 27-36

Author(s):

Guojing Zhao ◽

Jianpeng Zhang ◽

Yong Xia

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Image Generation ◽

Mr Images ◽

Mr Image ◽

Brain Tumor Segmentation

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A Multi-path Decoder Network for Brain Tumor Segmentation

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

10.1007/978-3-030-46643-5_25 ◽

2020 ◽

pp. 255-265

Author(s):

Yunzhe Xue ◽

Meiyan Xie ◽

Fadi G. Farhat ◽

Olga Boukrina ◽

A. M. Barrett ◽

...

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

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Brain Tumor Segmentation Using 3D Convolutional Neural Network

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

10.1007/978-3-030-46643-5_19 ◽

2020 ◽

pp. 199-207

Author(s):

Kaisheng Liang ◽

Wenlian Lu

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Convolutional Neural Network ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

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Two Stages CNN-Based Segmentation of Gliomas, Uncertainty Quantification and Prediction of Overall Patient Survival

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

10.1007/978-3-030-46643-5_16 ◽

2020 ◽

pp. 167-178

Author(s):

Thibault Buatois ◽

Élodie Puybareau ◽

Guillaume Tochon ◽

Joseph Chazalon

Keyword(s):

Uncertainty Quantification ◽

Patient Survival ◽

Two Stages

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Brain Tumor Segmentation Using Attention-Based Network in 3D MRI Images

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

10.1007/978-3-030-46643-5_1 ◽

2020 ◽

pp. 3-13

Author(s):

Xiaowei Xu ◽

Wangyuan Zhao ◽

Jun Zhao

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

3D Mri ◽

Brain Tumor Segmentation

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Knowledge Distillation for Brain Tumor Segmentation

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

10.1007/978-3-030-46643-5_32 ◽

2020 ◽

pp. 324-332 ◽

Cited By ~ 1

Author(s):

Dmitrii Lachinov ◽

Elena Shipunova ◽

Vadim Turlapov

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Knowledge Distillation

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Deep Convolutional Neural Networks for Brain Tumor Segmentation: Boosting Performance Using Deep Transfer Learning: Preliminary Results

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

10.1007/978-3-030-46643-5_30 ◽

2020 ◽

pp. 303-315

Author(s):

Mostefa Ben Naceur ◽

Mohamed Akil ◽

Rachida Saouli ◽

Rostom Kachouri

Keyword(s):

Neural Networks ◽

Brain Tumor ◽

Transfer Learning ◽

Convolutional Neural Networks ◽

Tumor Segmentation ◽

Deep Convolutional Neural Networks ◽

Brain Tumor Segmentation ◽

Preliminary Results

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Automatic Classification of Brain Tumor Types with the MRI Scans and Histopathology Images

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

10.1007/978-3-030-46643-5_35 ◽

2020 ◽

pp. 353-359

Author(s):

Hsiang-Wei Chan ◽

Yan-Ting Weng ◽

Teng-Yi Huang

Keyword(s):

Brain Tumor ◽

Automatic Classification ◽

Mri Scans ◽

Histopathology Images ◽

Tumor Types

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Multi-branch Learning Framework with Different Receptive Fields Ensemble for Brain Tumor Segmentation

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

10.1007/978-3-030-46643-5_27 ◽

2020 ◽

pp. 274-284

Author(s):

Cheng Guohua ◽

Luo Mengyan ◽

He Linyang ◽

Mo Lingqiang

Keyword(s):

Brain Tumor ◽

Receptive Fields ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Learning Framework

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3D Deep Residual Encoder-Decoder CNNS with Squeeze-and-Excitation for Brain Tumor Segmentation

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

10.1007/978-3-030-46643-5_23 ◽

2020 ◽

pp. 234-243

Author(s):

Kai Yan ◽

Qiuchang Sun ◽

Ling Li ◽

Zhicheng Li

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

Download Full-text

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-Sequence MR Image Generation

A Multi-path Decoder Network for Brain Tumor Segmentation

Brain Tumor Segmentation Using 3D Convolutional Neural Network

Two Stages CNN-Based Segmentation of Gliomas, Uncertainty Quantification and Prediction of Overall Patient Survival

Brain Tumor Segmentation Using Attention-Based Network in 3D MRI Images

Knowledge Distillation for Brain Tumor Segmentation

Deep Convolutional Neural Networks for Brain Tumor Segmentation: Boosting Performance Using Deep Transfer Learning: Preliminary Results

Automatic Classification of Brain Tumor Types with the MRI Scans and Histopathology Images

Multi-branch Learning Framework with Different Receptive Fields Ensemble for Brain Tumor Segmentation

3D Deep Residual Encoder-Decoder CNNS with Squeeze-and-Excitation for Brain Tumor Segmentation

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