3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images
Brain tumor segmentation is an important content in medical image processing, and it is also a very common research in medicine. Due to the development of modern technology, it is very valuable to use deep learning (DL) and multimodal MRI images to study brain tumor segmentation. In order to solve t...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Emergency Medicine International |
| Online Access: | http://dx.doi.org/10.1155/2022/5356069 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832559445735899136 |
|---|---|
| author | Zhuliang Qian Lifeng Xie Yisheng Xu |
| author_facet | Zhuliang Qian Lifeng Xie Yisheng Xu |
| author_sort | Zhuliang Qian |
| collection | DOAJ |
| description | Brain tumor segmentation is an important content in medical image processing, and it is also a very common research in medicine. Due to the development of modern technology, it is very valuable to use deep learning (DL) and multimodal MRI images to study brain tumor segmentation. In order to solve the problems of low efficiency and low accuracy of brain tumor segmentation, this paper proposes DL to conduct research on multimodal MRI image segmentation, aiming to make accurate diagnosis and treatment for doctors. In addition, this paper constructs an automatic diagnosis system for brain tumors, uses GLCM and discrete wavelet transform (DWT) to extract features from MRI images, and then uses a convolutional neural network (CNN) for final diagnosis; finally, through four. The comparison of the results between the two algorithms proves that the CNN algorithm has the better processing power and higher efficiency. |
| format | Article |
| id | doaj-art-c7ae1bccb86f4fed90ca98c45b47f857 |
| institution | Kabale University |
| issn | 2090-2859 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Emergency Medicine International |
| spelling | doaj-art-c7ae1bccb86f4fed90ca98c45b47f8572025-02-03T01:30:03ZengWileyEmergency Medicine International2090-28592022-01-01202210.1155/2022/53560693D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI ImagesZhuliang Qian0Lifeng Xie1Yisheng Xu2Department of ImagingDepartment of ImagingDepartment of ImagingBrain tumor segmentation is an important content in medical image processing, and it is also a very common research in medicine. Due to the development of modern technology, it is very valuable to use deep learning (DL) and multimodal MRI images to study brain tumor segmentation. In order to solve the problems of low efficiency and low accuracy of brain tumor segmentation, this paper proposes DL to conduct research on multimodal MRI image segmentation, aiming to make accurate diagnosis and treatment for doctors. In addition, this paper constructs an automatic diagnosis system for brain tumors, uses GLCM and discrete wavelet transform (DWT) to extract features from MRI images, and then uses a convolutional neural network (CNN) for final diagnosis; finally, through four. The comparison of the results between the two algorithms proves that the CNN algorithm has the better processing power and higher efficiency.http://dx.doi.org/10.1155/2022/5356069 |
| spellingShingle | Zhuliang Qian Lifeng Xie Yisheng Xu 3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images Emergency Medicine International |
| title | 3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images |
| title_full | 3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images |
| title_fullStr | 3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images |
| title_full_unstemmed | 3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images |
| title_short | 3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images |
| title_sort | 3d automatic segmentation of brain tumor based on deep neural network and multimodal mri images |
| url | http://dx.doi.org/10.1155/2022/5356069 |
| work_keys_str_mv | AT zhuliangqian 3dautomaticsegmentationofbraintumorbasedondeepneuralnetworkandmultimodalmriimages AT lifengxie 3dautomaticsegmentationofbraintumorbasedondeepneuralnetworkandmultimodalmriimages AT yishengxu 3dautomaticsegmentationofbraintumorbasedondeepneuralnetworkandmultimodalmriimages |