Official pytorch codes and models for paper:
Jie Yang, Yan Ou, Zhiqian Chen, Juan Liao, Wenjian Sun, Yang Luo, Chunbo Luo. A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy. Submission to IEEE Journal of Biomedical and Health Informatics.
Our models can be found in our Netdisk: our-model && Extraction code is: 1234
To view a sample of the data: data-samples
To download data please contact: juanliao@scu.edu.cn && c.luo@uestc.edu.cn
To view the test results on video: video-result
The first row shows the WLI samples; the second row shows the LCI samples of the same positions. Each column indicates the position where the images were taken.
pytorch==1.7+cuda10.1
torchvision==0.6.0
numpy==1.19.5
Jie Yang, Yan Ou, Zhiqian Chen, Juan Liao, Wenjian Sun, Yang Luo, Chunbo Luo. A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy [J].