Feature extraction from mammographic mass shapes and development of a mammogram database

@article{Ertas2001FeatureEF,
  title={Feature extraction from mammographic mass shapes and development of a mammogram database},
  author={G. Ertas and H. O. Gulcur and Erkin Aribal and A. Semiz},
  journal={2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2001},
  volume={3},
  pages={2752-2755 vol.3}
}
  • G. Ertas, H.O. Gulcur, +1 author A. Semiz
  • Published in
    Conference Proceedings of the 23rd Annual…
    2001
  • DOI:10.1109/IEMBS.2001.1017354
Breast cancer is one of the most common malignancies in women and a rare malignancy in men. Women who are diagnosed at an early stage can survive this often deadly disease. Mammography provides the best screening modality for detecting early breast cancer, even before a lesion is palpable. Because of the malignant mass pathology, the shape of the mammographic mass can be used to discriminate between malignant and benign masses. In this study the use, of shape features to classify breast masses… CONTINUE READING

Citations

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MAGIC-5: an Italian mammographic database of digitised images for research

Sabina Tangaro, R. Bellotti, +26 authors R. Cataldo
  • La radiologia medica
  • 2008
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Applying modular classifiers to mammographic mass classification

  • The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 2004
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Normal mammogram analysis

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