Semantic segmentation of brain tumor images using attention-based residual light u-net model

Chakrapani Chakrapani; Sunil Kumar

doi:10.1007/s11042-024-19224-6

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Semantic segmentation of brain tumor images using attention-based residual light u-net model

Chakrapani Chakrapani Sunil Kumar

Year: 2024 Journal: Multimedia Tools and Applications Vol: 84 (10)Pages: 7425-7441 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-024-19224-6

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Keywords:

Computer science Residual Segmentation Artificial intelligence Net (polyhedron) Natural language processing Pattern recognition (psychology) 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

Semantic segmentation of brain tumor images using attention-based residual light u-net model

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Citation History

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