Zobrazeno 1 - 10 of 30 pro vyhledávání: '"Xiangchen Wu"'
1
Akademický článek
AI-assisted system improves the work efficiency of cytologists via excluding cytology-negative slides and accelerating the slide interpretation
Autor: Hui Du, Wenkui Dai, Qian Zhou, Changzhong Li, Shuai Cheng Li, Chun Wang, Jinlong Tang, Xiangchen Wu, Ruifang Wu
Publikováno v: Frontiers in Oncology, Vol 13 (2023)
Given the shortage of cytologists, women in low-resource regions had inequitable access to cervical cytology which plays an pivotal role in cervical cancer screening. Emerging studies indicated the potential of AI-assisted system in promoting the imp
Externí odkaz: https://doaj.org/article/b1d9a6eacd0a460b8545ff77be67e817
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2
Akademický článek
A Survey for Cervical Cytopathology Image Analysis Using Deep Learning
Autor: Md Mamunur Rahaman, Chen Li, Xiangchen Wu, Yudong Yao, Zhijie Hu, Tao Jiang, Xiaoyan Li, Shouliang Qi
Publikováno v: IEEE Access, Vol 8, Pp 61687-61710 (2020)
Cervical cancer is one of the most common and deadliest cancers among women. Despite that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test is the most extensively performed screening method for early detect
Externí odkaz: https://doaj.org/article/f557a86d7a5146e9b50869eb89171202
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7
Model predictive zone control with soft constrained appending margin
Autor: Xiangchen Wu, Zhicheng Wu, Shouping Guan
Publikováno v: Asian Journal of Control. 23:2776-2785
In industrial processes, zone control is often applied to some control systems that do not have set‐point control requirements. Zone control involves constraining controlled variables with...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::491839ff53cf71d767f8ab0375139196
https://doi.org/10.1002/asjc.2413
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8
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron
Autor: Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek
Publikováno v: Pattern Recognition. 130:108829
Cervical cancer is the seventh most common cancer among all the cancers worldwide and the fourth most common cancer among women. Cervical cytopathology image classification is an important method to diagnose cervical cancer. Manual screening of cytop
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88966d7a2883972185d2c14bff39cbef
https://doi.org/10.1016/j.patcog.2022.108829
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10
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
Autor: Xiaoyan Li, Chen Li, Yu-Dong Yao, Xiangchen Wu, Frank Kulwa, Qian Wang, Mamunur Rahaman
Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular screening to detect any precancerous lesions at early stages and treat them. Pap smear test is a widely performed screening technique for early detection o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f987cd3b11c4ceb22c169b1187ed84f
http://arxiv.org/abs/2102.12191
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