In this paper we address the problem of differentiating between malignant and benign tumors based on their appearance in the CC and MLO mammography views. We describe a two-step classification method that is based on a view-level decision, implemented by a logistic regression classifier, followed by a stochastic combination of the two view-level indications into a single malignant or benign decision. The EM algorithm is used to find the parameters of the proposed model. Our method was evaluated on a standardized digital database for screening mammography (DDSM). Experimental results demonstrate the effectiveness of optimally combining the decisions based on the two views.
|Title of host publication||2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015|
|Publisher||IEEE Computer Society|
|Number of pages||4|
|State||Published - 21 Jul 2015|
|Event||12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States|
Duration: 16 Apr 2015 → 19 Apr 2015
|Name||Proceedings - International Symposium on Biomedical Imaging|
|Conference||12th IEEE International Symposium on Biomedical Imaging, ISBI 2015|
|Period||16/04/15 → 19/04/15|
Bibliographical notePublisher Copyright:
© 2015 IEEE.
- Computer-aided diagnosis