Corpus ID: 209445162

Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario.

@article{Liang2018ComparisonBasedCN,
  title={Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario.},
  author={Yixiong Liang and Zhihong Tang and Meng Yan and Jialin Chen and Qing Liu and Yao Xiang},
  journal={arXiv: Computer Vision and Pattern Recognition},
  year={2018}
}
Automated detection of cervical cancer cells or cell clumps has the potential to significantly reduce error rate and increase productivity in cervical cancer screening. However, most traditional methods rely on the success of accurate cell segmentation and discriminative hand-crafted features extraction. Recently there are emerging deep learning-based methods which train convolutional neural networks (CNN) to classify image patches, but they are computationally expensive. In this paper we… Expand
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