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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2995630
Abstract: Colorectal cancer has become one of the most common cause of cancer mortality worldwide, with a five-year survival rate of over 50%. Additionally, the potential of some common polyp types to progress to colorectal cancer…
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Keywords:
polyp;
polyp segmentation;
encoder decoder;
colonoscopy ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3175858
Abstract: Colorectal cancer is one of the leading causes of death worldwide. Polyps are early symptoms of colorectal cancer and prone to malignant transformation. Polyp segmentation of colonoscopy images can help diagnosis. However, existing studies on…
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Keywords:
colonoscopy images;
polyp segmentation;
uncertain areas;
segmentation ... See more keywords
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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3244219
Abstract: Recently, deep convolutional neural networks (CNNs) have provided us an effective tool for automated polyp segmentation in colonoscopy images. However, most CNN-based methods do not fully consider the feature interaction among different layers and often…
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Keywords:
colonoscopy images;
attention guided;
polyp segmentation;
segmentation ... See more keywords
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Published in 2022 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2022.963590
Abstract: Colorectal cancer is the cancer with the second highest and the third highest incidence rates for the female and the male, respectively. Colorectal polyps are potential prognostic indicators of colorectal cancer, and colonoscopy is the…
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Keywords:
colonoscopy images;
region segmentations;
generalized hybrid;
lesion region ... See more keywords