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Haoying Li

As seen in: Nature, MDPI
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Articles

Pan-retinal pathology detection in oct scans integrating natural language synthesis with diagnostic annotation

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By Wangting Li, Weihao Gao, LU CHEN, Dong Fang, Lujia Feng, Canfeng Huang, Jia Liang, Yingying Diao, Bingyu Bai, Ting Xie, Pengfeng Li, Huiyan Zheng, Weihua Yang, Xue Yao, Fang Li, Zheng Gong, Zhuo Deng, Wenyong Huang, Bing Zhang, Zixia Zhou, Li Cai, Hongchang Yang, Xiaoshan Fang, Yunxia Leng, Danna Chen, Yingying Liang, Xiaoyan Dou, Haoying Li, Gang Du, Yunwei Hu, Lan Ma, Wei Chi, Shaochong Zhang, Yijing Zhuang, Pengxue Wei, Xiangqing Hei, Xianling Tang, Zengfen Wu, Donghui Pu, Guangbing Zhong, Linyi Luo
| Nature Verified
Abstract While OCT is pivotal for macular disease diagnosis, its adoption in primary care is limited by AI systems that cannot simultaneously analyze multi-sectional scans across the full spectrum of maculopathies or generate diagnostically integrated reports. Here we present iOCT, an intelligent OCT analysis system that integrates a multi-level annotation framework with data distillation to enable automated multi-sectional scan analysis and comprehensive natural language report generation.
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Resilience Assessment of Flood Disasters in Zhengzhou Metropolitan Area Based on the PSR Model

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By Shubo Cheng, Haoying Li
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Rural Entrepreneurship Development in Southwest China: A Spatiotemporal Analysis

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By Jonas Nielsen, Rui Chen, Haoying Li, Jonas Østergaard
| MDPI
Abstract : Rural entrepreneurship has been seen by the central government of China as a key means to rural vitalization. However, research focus on the long-term developmental status of rural entrepreneurship at local scale has been limited. According to industry types of differentiation, this research describes rural enterprises registered in the administrative area of Mianyang, southwest China, from 2011 to 2020.
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