Advancing Brain Tumor Inpainting with Generative Models
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866917581251674112 |
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| author | Zhu, Ruizhi Zhang, Xinru Pang, Haowen Xu, Chundan Ye, Chuyang |
| author_facet | Zhu, Ruizhi Zhang, Xinru Pang, Haowen Xu, Chundan Ye, Chuyang |
| contents | Synthesizing healthy brain scans from diseased brain scans offers a potential solution to address the limitations of general-purpose algorithms, such as tissue segmentation and brain extraction algorithms, which may not effectively handle diseased images. We consider this a 3D inpainting task and investigate the adaptation of 2D inpainting methods to meet the requirements of 3D magnetic resonance imaging(MRI) data. Our contributions encompass potential modifications tailored to MRI-specific needs, and we conducted evaluations of multiple inpainting techniques using the BraTS2023 Inpainting datasets to assess their efficacy and limitations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_01509 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Advancing Brain Tumor Inpainting with Generative Models Zhu, Ruizhi Zhang, Xinru Pang, Haowen Xu, Chundan Ye, Chuyang Image and Video Processing Computer Vision and Pattern Recognition Machine Learning Synthesizing healthy brain scans from diseased brain scans offers a potential solution to address the limitations of general-purpose algorithms, such as tissue segmentation and brain extraction algorithms, which may not effectively handle diseased images. We consider this a 3D inpainting task and investigate the adaptation of 2D inpainting methods to meet the requirements of 3D magnetic resonance imaging(MRI) data. Our contributions encompass potential modifications tailored to MRI-specific needs, and we conducted evaluations of multiple inpainting techniques using the BraTS2023 Inpainting datasets to assess their efficacy and limitations. |
| title | Advancing Brain Tumor Inpainting with Generative Models |
| topic | Image and Video Processing Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2402.01509 |