Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach

By J. Dheeba, N. Albert Singh, S. Tamil Selvi. Journal of Biomedical Informatics, 2014

365 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/95bb0ee471480da79e41ae196bb4da02abe52a27

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Yilong Wang
2. Yi Dong
3. Hui Zhi
4. Yongjun Wang
5. Yong Jiang
6. Sufeng Ma
7. Haipeng Shen
8. Q. Dong

Citations in the corpus

• Artificial intelligence in healthcare: past, present and future (2017, methodology): “Dheeba et al used neural network to predict breast cancer, with the inputs being the texture information from mammographic images and the outcomes being tumour indicators.(35) Hirschauer et al used a more sophisticated neural network model to diagnose Parkinson’s disease based on the inputs of motor”