PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion

P. Lijin; Mohib Ullah; Anuja Vats; Faouzi Alaya Cheikh; G. Santhosh Kumar; Madhu S. Nair

doi:10.1007/s13534-024-00415-x

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PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion

P. Lijin Mohib Ullah Anuja Vats Faouzi Alaya Cheikh G. Santhosh Kumar Madhu S. Nair

Year: 2024 Journal: Biomedical Engineering Letters Vol: 14 (6)Pages: 1421-1431 Publisher: Springer Science+Business Media

DOI: 10.1007/s13534-024-00415-x

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Keywords:

Segmentation Artificial intelligence Convolutional neural network Transformer Colonoscopy Computer science Image segmentation Pattern recognition (psychology) Computer vision Colorectal cancer Medicine Engineering Cancer Internal medicine

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Topics

Colorectal Cancer Screening and Detection

Health Sciences → Medicine → Oncology

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion

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Citation History

Topics

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