Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images
Purpose. In order to resolve the situation of high missed diagnosis rate and high misdiagnosis rate of the pathological analysis of the gastrointestinal endoscopic images by experts, we propose an automatic polyp detection algorithm based on Single Shot Multibox Detector (SSD). Method. In the paper,...
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Hindawi Limited
2021
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oai:doaj.org-article:f7adc145b8de43639231dd037629546f2021-11-15T01:19:14ZSingle Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images1748-671810.1155/2021/2144472https://doaj.org/article/f7adc145b8de43639231dd037629546f2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2144472https://doaj.org/toc/1748-6718Purpose. In order to resolve the situation of high missed diagnosis rate and high misdiagnosis rate of the pathological analysis of the gastrointestinal endoscopic images by experts, we propose an automatic polyp detection algorithm based on Single Shot Multibox Detector (SSD). Method. In the paper, SSD is based on VGG-16, the fully connected layer is changed to a convolutional layer, and four convolutional layers with successively decreasing scales are added as a new network structure. In order to verify the practicability, it is not only compared with manual polyp detection but also with Mask R-CNN. Results. Multiple experimental results show that the mean Average Precision (mAP) of the SSD network is 95.74%, which is 12.4% higher than the manual detection and 5.7% higher than the Mask R-CNN. When detecting a single frame of image, the detection speed of SSD is 8.41 times that of manual detection. Conclusion. Based on the traditional pattern recognition algorithm and the target detection algorithm using deep learning, we select a variety of algorithms to identify and classify polyps to achieve efficient detection results. Our research demonstrates that deep learning has a lot of room for development in the field of gastrointestinal image recognition.Xiaoling ChenKuiling ZhangShuying LinKai Feng DaiYang YunHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7ENComputational and Mathematical Methods in Medicine, Vol 2021 (2021) |
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DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Computer applications to medicine. Medical informatics R858-859.7 |
| spellingShingle |
Computer applications to medicine. Medical informatics R858-859.7 Xiaoling Chen Kuiling Zhang Shuying Lin Kai Feng Dai Yang Yun Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images |
| description |
Purpose. In order to resolve the situation of high missed diagnosis rate and high misdiagnosis rate of the pathological analysis of the gastrointestinal endoscopic images by experts, we propose an automatic polyp detection algorithm based on Single Shot Multibox Detector (SSD). Method. In the paper, SSD is based on VGG-16, the fully connected layer is changed to a convolutional layer, and four convolutional layers with successively decreasing scales are added as a new network structure. In order to verify the practicability, it is not only compared with manual polyp detection but also with Mask R-CNN. Results. Multiple experimental results show that the mean Average Precision (mAP) of the SSD network is 95.74%, which is 12.4% higher than the manual detection and 5.7% higher than the Mask R-CNN. When detecting a single frame of image, the detection speed of SSD is 8.41 times that of manual detection. Conclusion. Based on the traditional pattern recognition algorithm and the target detection algorithm using deep learning, we select a variety of algorithms to identify and classify polyps to achieve efficient detection results. Our research demonstrates that deep learning has a lot of room for development in the field of gastrointestinal image recognition. |
| format |
article |
| author |
Xiaoling Chen Kuiling Zhang Shuying Lin Kai Feng Dai Yang Yun |
| author_facet |
Xiaoling Chen Kuiling Zhang Shuying Lin Kai Feng Dai Yang Yun |
| author_sort |
Xiaoling Chen |
| title |
Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images |
| title_short |
Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images |
| title_full |
Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images |
| title_fullStr |
Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images |
| title_full_unstemmed |
Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images |
| title_sort |
single shot multibox detector automatic polyp detection network based on gastrointestinal endoscopic images |
| publisher |
Hindawi Limited |
| publishDate |
2021 |
| url |
https://doaj.org/article/f7adc145b8de43639231dd037629546f |
| work_keys_str_mv |
AT xiaolingchen singleshotmultiboxdetectorautomaticpolypdetectionnetworkbasedongastrointestinalendoscopicimages AT kuilingzhang singleshotmultiboxdetectorautomaticpolypdetectionnetworkbasedongastrointestinalendoscopicimages AT shuyinglin singleshotmultiboxdetectorautomaticpolypdetectionnetworkbasedongastrointestinalendoscopicimages AT kaifengdai singleshotmultiboxdetectorautomaticpolypdetectionnetworkbasedongastrointestinalendoscopicimages AT yangyun singleshotmultiboxdetectorautomaticpolypdetectionnetworkbasedongastrointestinalendoscopicimages |
| _version_ |
1718429021810720768 |