Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy

doi:10.3748/wjg.v29.i5.879

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastroenterol. Feb 7, 2023; 29(5): 879-889
Published online Feb 7, 2023. doi: 10.3748/wjg.v29.i5.879

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Figure 1 Sample image of training data. The left three columns are the original image of the capsule, and the right three columns are the manual annotation results.

Citation: Chu Y, Huang F, Gao M, Zou DW, Zhong J, Wu W, Wang Q, Shen XN, Gong TT, Li YY, Wang LF. Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy. World J Gastroenterol 2023; 29(5): 879-889
URL: https://www.wjgnet.com/1007-9327/full/v29/i5/879.htm
DOI: https://dx.doi.org/10.3748/wjg.v29.i5.879

Chu Y, Huang F, Gao M, Zou DW, Zhong J, Wu W, Wang Q, Shen XN, Gong TT, Li YY, Wang LF. Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy. World J Gastroenterol 2023; 29(5): 879-889 [PMID: 36816625 DOI: 10.3748/wjg.v29.i5.879]

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