3D AIR-UNet: attention–inception–residual-based U-Net for brain tumor segmentation from multimodal MRI

Vani Sharma; Mohit Kumar; Arun Kumar Yadav

doi:10.1007/s00521-025-11105-9

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3D AIR-UNet: attention–inception–residual-based U-Net for brain tumor segmentation from multimodal MRI

Vani Sharma Mohit Kumar Arun Kumar Yadav

Year: 2025 Journal: Neural Computing and Applications Vol: 37 (16)Pages: 9969-9990 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-025-11105-9

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Keywords:

Computational Science and Engineering Residual Computer science Segmentation Artificial intelligence Pattern recognition (psychology) Machine learning Algorithm

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Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

3D AIR-UNet: attention–inception–residual-based U-Net for brain tumor segmentation from multimodal MRI

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Citation History

Topics

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