DCANet: deep context attention network for automatic polyp segmentation

Zaka-Ud-Din Muhammad; Zhangjin Huang; Naijie Gu; Usman Muhammad

doi:10.1007/s00371-022-02677-x

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DCANet: deep context attention network for automatic polyp segmentation

Zaka-Ud-Din Muhammad Zhangjin Huang Naijie Gu Usman Muhammad

Year: 2022 Journal: The Visual Computer Vol: 39 (11)Pages: 5513-5525 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-022-02677-x

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Keywords:

Computer science Segmentation Context (archaeology) Artificial intelligence Benchmark (surveying) Encoder Feature (linguistics) Channel (broadcasting) Deep learning Pattern recognition (psychology) Convolutional neural network Computer vision

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Topics

Colorectal Cancer Screening and Detection

Health Sciences → Medicine → Oncology

Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Lung Cancer Diagnosis and Treatment

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

DCANet: deep context attention network for automatic polyp segmentation

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