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Hosseinzadeh Kassani et al., 2020 - Google Patents

Automatic polyp segmentation using convolutional neural networks

Hosseinzadeh Kassani et al., 2020

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Document ID
10856584790468882963
Author
Hosseinzadeh Kassani S
Hosseinzadeh Kassani P
Wesolowski M
Schneider K
Deters R
Publication year
Publication venue
Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings 33

External Links

Snippet

Colorectal cancer is the third most common cancer-related death after lung cancer and breast cancer worldwide. The risk of developing colorectal cancer could be reduced by early diagnosis of polyps during a colonoscopy. Computer-aided diagnosis systems have the …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06T2207/20112Image segmentation details
    • GPHYSICS
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    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
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