Výsledky vyhledávání - "Wu, Xiangchen"

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CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron

Autor: Liu, Wanli, Li, Chen, Xu, Ning, Jiang, Tao, Rahaman, Md Mamunur, Sun, Hongzan, Wu, Xiangchen, Hu, Weiming, Chen, Haoyuan, Sun, Changhao, Yao, Yudong, Grzegorzek, Marcin

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: http://arxiv.org/abs/2206.00971

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Fork Entropy: Assessing the Diversity of Open Source Software Projects' Forks

Autor: Wang, Liang, Zheng, Zhiwen, Wu, Xiangchen, Sang, Baihui, Zhang, Jierui, Tao, Xianping

On open source software (OSS) platforms such as GitHub, forking and accepting pull-requests is an important approach for OSS projects to receive contributions, especially from external contributors who cannot directly commit into the source repositor

Externí odkaz: http://arxiv.org/abs/2205.09931

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Akademický článek

Assessment of Efficacy and Accuracy of Cervical Cytology Screening With Artificial Intelligence Assistive System

Autor: Bai, Xinru, Wei, Jingjing, Starr, David, Zhang, Xin, Wu, Xiangchen, Guo, Yongzhen, Liu, Yixuan, Ma, Xiaotian, Wei, Yuan, Li, Changzhong, Zilla, Megan L., Zhang, Wei, Zeng, Xianxu, Zhao, Chengquan

Publikováno v: In Modern Pathology June 2024 37(6)

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Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: from convolutional neural networks to visual transformers

Autor: Liu, Wanli, Li, Chen, Rahamana, Md Mamunur, Jiang, Tao, Sun, Hongzan, Wu, Xiangchen, Hu, Weiming, Chen, Haoyuan, Sun, Changhao, Yao, Yudong, Grzegorzek, Marcin

Cervical cancer is a very common and fatal type of cancer in women. Cytopathology images are often used to screen for this cancer. Given that there is a possibility that many errors can occur during manual screening, a computer-aided diagnosis system

Externí odkaz: http://arxiv.org/abs/2105.07402

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DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques

Autor: Rahaman, Md Mamunur, Li, Chen, Yao, Yudong, Kulwa, Frank, Wu, Xiangchen, Li, Xiaoyan, Wang, Qian

Publikováno v: Computers in Biology and Medicine, 136, 104649 (2021)

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: http://arxiv.org/abs/2102.12191

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