A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs

By Rangaraj Mandayam Rangayyan, Fábio J. Ayres, J. E. Leo Desautels. Journal of the Franklin Institute, 2007

389 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/9bf32a68edfea8b8c072bcd3ee0d696687bab403

How researchers see this paper

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

In Artificial Intelligence

1. Kayvan Najarian
2. Arnau Oliver
3. Mark A. Kon
4. Ashwin Belle

In Computer Vision and Pattern Recognition

1. Josep Pont
2. Joan Martí
3. Erika R. E. Denton
4. Reyer Zwiggelaar
5. Kayvan Najarian
6. Arnau Oliver
7. Jordi Freixenet
8. Mark A. Kon

In Pulmonary and Respiratory Medicine

1. Kayvan Najarian
2. Mark A. Kon
3. Ashwin Belle

Citations in the corpus

• A review of automatic mass detection and segmentation in mammographic images (2010, methodology): “Both Cheng et al. (2006) and Rangayyan et al. (2007) qualitatively deal with enhancement, detection, characterisation, and classification of masses.”
• Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey (2013, methodology): “describes re�ned methodologies that have been developed in computer-aided breast cancer diagnostic systems [31].”