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Xiangang Yin

As seen in: Nature, Journal of Clinical Pathology
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Articles

Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole

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By Yating Zhao, Xinhui He, Xin Tao Ye, Zhe Wang, Bo Huang, Jiaqi Ning, Limeng Cai, Peilin Han, Huifang Zhang, Hao Chen, Xiangang Yin, Jie Dong, Ping Duan, Huafeng Shou, Kai Yan, Min Hu, Ruiqi Sun, Qihong Wan, Qiwei Zheng, Wanting Huang, Haixia Luo, Jue Xie, Xiaofei Zhang, Xiang Rong Tian, Jianhua Qian, Qingmei Han, Xiupu Liu
| Nature Verified
Abstract Distinguishing histological subtypes of early pregnancy loss is crucial for clinical practice. Current gold standards combining pathological and molecular profiling are costly, limiting implementation. We developed a patch-to-slide fusion artificial intelligence (AI) model with adaptive masking to predict histological diagnosis.
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Reappraisal and refined diagnosis of ultrasonography and histological findings for hydatidiform moles: a multicentre retrospective study of 821 patients

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By Yating Zhao, Limeng Cai, Bo Huang, Xiangang Yin
| Journal of Clinical Pathology Verified
Reappraisal and refined diagnosis of ultrasonography and histological findings for hydatidiform moles: a multicentre retrospective study of 821 patients Statistics from Altmetric.com Request Permissions If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
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Derivation and application of an analytical rock displacement solution on rectangular cavern wall using the inverse mapping method

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By Shengwei Li, Mingzhong Gao, Zhiqiang Qiu, Xiangang Yin
| PLOS
Rectangular caverns are increasingly used in underground engineering projects, the failure mechanism of rectangular cavern wall rock is significantly different as a result of the cross-sectional shape and variations in wall stress distributions. However, the conventional computational method always results in a long-winded computational process and multiple displacement solutions of internal rectangular wall rock.
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