S. Kolhe
ABSTRACT
The proposed method detects the exact location of masses and circumscribed masses in mammograms based on RBFNN (Redial Basis Function Neural Network) with accuracy of 62% and 50% respectively for mammograms containing masses. The recognition rate for the normal one reaches 94.89% in MIAS (Mammography Image Analysis Society) database. Also the results are independent of preprocessing. This procedure is implemented by performing sub-image windowing analysis. The evaluation of the proposed mass and circumscribed mass detection was carried out in the MIAS database, giving reliable detection.
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Index Terms
- Detection of mass and circumscribed mass in mammograms employing radial-basis-function neural networks
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