Upper gastrointestinal anatomy detection with multi-task convolutional neural networks

Esophagogastroduodenoscopy (EGD) has been widely applied for gastrointestinal (GI) examinations. However, there is a lack of mature technology to evaluate the quality of the EGD inspection process. In this Letter, the authors design a multi-task anatomy detection convolutional neural network (MT-AD-...

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Bibliografiset tiedot
Julkaisussa:Healthc Technol Lett
Päätekijät: Xu, Zhang, Tao, Yu, Wenfang, Zheng, Ne, Lin, Zhengxing, Huang, Jiquan, Liu, Weiling, Hu, Huilong, Duan, Jianmin, Si
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: The Institution of Engineering and Technology 2019
Aiheet:
Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6945683/
https://ncbi.nlm.nih.gov/pubmed/32038853
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/htl.2019.0066
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