A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network.
Yao XiangWanxin SunChangli PanMeng YanZhihua YinYixiong LiangPublished in: CoRR (2019)
Keyphrases
- high accuracy
- cost function
- significant improvement
- similarity measure
- preprocessing
- detection method
- clustering method
- edge detection
- multi class
- support vector machine
- input data
- experimental evaluation
- synthetic data
- pairwise
- computational complexity
- cervical cancer
- computational cost
- segmentation algorithm
- classification method
- computer assisted
- feature set
- probabilistic model
- neural network
- prior knowledge
- k means
- evolutionary algorithm
- pattern recognition
- image sequences
- machine learning