Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling

Author:

Tareef AfafORCID,Song Yang,Huang Heng,Wang Yue,Feng Dagan,Chen Mei,Cai Weidong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference57 articles.

1. W. H. Organization, et al., WHO Guidance Note: Comprehensive Cervical Cancer Prevention and Control: A Healthier Future for Girls and Women(2013).

2. Evaluation of three algorithms for the segmentation of overlapping cervical cells;Lu;IEEE J. Biomed. Health Inform.,2017

3. Automated cell nucleus segmentation using improved snake;Hu,2004

4. Segmenting clustered nuclei using H-minima transform-based marker extraction and contour parameterization;Jung;IEEE Trans. Biomed. Eng.,2010

5. Unsupervised segmentation of overlapped nuclei using Bayesian classification;Jung;IEEE Trans. Biomed. Eng.,2010

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