Abstract
Detecting early stage breast cancers like Ductal Carcinoma In Situ (DCIS) is important, as it supports effective and minimally invasive treatments. Although Computer Aided Detection/Diagnosis (CADe/ CADx) systems have been successfully employed for highly malignant carcinomas, their performance on DCIS is inadequate. In this context, we propose a novel approach combining symmetry, kinetics and morphology that achieves superior performance. We base our work on contrast enhanced data of 18 pure DCIS cases with hand annotated lesions and 9 purely normal cases. The overall sensitivity and specificity of the system stood at 89% each.
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Srikantha, A. (2013). Symmetry-Based Detection and Diagnosis of DCIS in Breast MRI. In: Weickert, J., Hein, M., Schiele, B. (eds) Pattern Recognition. GCPR 2013. Lecture Notes in Computer Science, vol 8142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40602-7_28
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DOI: https://doi.org/10.1007/978-3-642-40602-7_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40601-0
Online ISBN: 978-3-642-40602-7
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