Research on ME- NBI Gastric Lesion Recognition System based on Improved UNet Structure-Reference-Cited by-同舟云学术

Research on ME- NBI Gastric Lesion Recognition System based on Improved UNet Structure

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI)
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Author:

Qiu Kaili¹,Bu Xiongzhu¹,Zhou Hui²,Liu Leheng²

Affiliation:

1. Nanjing University of technology,Department of mechanical engineering,Nanjing,China

2. Shanghai Jiao Tong University School of Medicine,Shanghai General Hospital,Department of Gastroenterology,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9750673/9750674/09750704.pdf?arnumber=9750704

Reference8 articles.

1. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Proc of the Int'1 Conf on Medical Image Computing and Computer-assisted Intervention (MICCAI 2015),2015

2. Fine grained image classification based on depth area network method [J];yuchen;Chinese Journal of Image and Graphics,2017

3. Cell image segmentation method combining convolutional neural network and super-pixel clustering [J];jinxin;Computer Application Research,2018

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