Lightweight convolutional neural network with knowledge distillation for cervical cells classification-Reference-Cited by-同舟云学术

Lightweight convolutional neural network with knowledge distillation for cervical cells classification

Published:2022-01 Issue: Volume:71 Page:103177
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Chen Wen^ORCID,Gao Liang,Li Xinyu,Shen Weiming

Funder

Huazhong University of Science and Technology

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference41 articles.

1. J. Ferlay, M. Colombet, I. Soerjomataram, D. M. Parkin, M. Piñeros, A. Znaor, et al., “Cancer statistics for the year 2020: An overview,” International Journal of Cancer, vol. n/a.

2. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 Countries;Sung;CA Cancer J. Clin.,2021

3. A blueprint for cancer screening and early detection: advancing screening’s contribution to cancer control;Wender;CA Cancer J. Clin.,2019

4. The health and economic impact of scaling cervical cancer prevention in 50 low- and lower-middle-income countries;Campos;Int. J. Gynecol. Obstetrics,2017

5. Detection and classification of cancer from microscopic biopsy images using clinically significant and biologically interpretable features;Kumar;J. Medical Eng.,2015

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