The following publications are possibly variants of this publication:
- Early gastric cancer segmentation in gastroscopic images using a co-spatial attention and channel attention based triple-branch ResUnetWenju Du, NiNi Rao, Jiahao Yong, Prince Ebenezer Adjei, Xiaoming Hu, Xiaotong Wang, Tao Gan, Linlin Zhu, Bing Zeng, Mengyuan Liu, Yongxue Xu. cmpb, 231:107397, April 2023. [doi]
- Application of Improved Mask R-CNN Algorithm Based on Gastroscopic Image in Detection of Early Gastric CancerZhi-Heng Cui, Qin-Yan Zhang, Jing-Wei Zhang, Xue Sun, Qing Wang, Yi Lei, Lin Zang, Li Zhao, Ji-Jiang Yang. compsac 2022: 1396-1401 [doi]
- Depth Information-Based Automatic Annotation of Early Esophageal Cancers in Gastroscopic Images Using Deep Learning TechniquesDing-Yun Liu, Hongxiu Jiang, NiNi Rao, Wenju Du, Cheng-Si Luo, Zheng Wen Li, Linlin Zhu, Tao Gan. access, 8:97907-97919, 2020. [doi]
- Annotating Early Esophageal Cancers Based on Two Saliency Levels of Gastroscopic ImagesDing-Yun Liu, NiNi Rao, Xinming Mei, Hongxiu Jiang, Quanchi Li, Cheng-Si Luo, Qian Li, Chengshi Zeng, Bing Zeng, Tao Gan. jms, 42(12), 2018. [doi]
- Computer Aided Annotation of Early Esophageal Cancer in Gastroscopic Images based on Deeplabv3+ NetworkDing-Yun Liu, Hongxiu Jiang, NiNi Rao, Cheng-Si Luo, Wen-Ju Du, Zheng Wen Li, Tao Gan. icbip 2019: 56-61 [doi]