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浏览/检索结果: 共3条，第1-3条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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 期刊论文 Computers in Biology and Medicine, 2022, 卷号: 141, 页码: 1-13 作者:  Liu, Wanli;  Li C(李晨);  Rahaman, Md Mamunur;  Jiang, Tao;  Sun, Hongzan 收藏  |  浏览/下载：16/0  |  提交时间：2021/12/20 Cervical cancer  Deep learning  Pap smear  Aspect ratio of cells  Visual transformer  Robustness comparison   Pap Test Reporting Rates for Conventional Smear and Liquid-Based Cervical Cytology from the Largest Academic Women's Hospital in China: Analysis of 1,248,785 Pap Test Reports 期刊论文 ACTA CYTOLOGICA, 2015, 卷号: 59, 期号: 6 作者:  Tao, Xiang;  Austin, R. Marshall;  Zhang, Hao;  Zhang, Lihong;  Xiao, Jianan 收藏  |  浏览/下载：11/0  |  提交时间：2019/12/19 Cervical Pap test  Cervical cancer  The Bethesda System reporting rate  Liquid-based cytology  Conventional Pap  China   Screening cervical lesions with Fourier transform infrared spectroscopy 期刊论文 科学通报 英文版, 2001 Gao, TY; Li, J; Ci, YX; Dong, JQ; Kan, X; Guo, ZQ 收藏  |  浏览/下载：4/0  |  提交时间：2015/11/11 infrared spectral feature  exfoliated cervical cells  screening of cervical lesions  HUMAN BREAST BENIGN  MALIGNANT-TISSUES  SMEARS