GOMPERTZ ALGORITHM FOR THE DETECTION OF BREAST CANCER USING MAMMOGRAPHIC IMAGES
Keywords:
breast cancer, Gompertz function, mammography, deep learning, ensemble learning.Abstract
Millions of women worldwide are impacted by breast cancer every year, making
it one of the most common malignancies worldwide. An important development in the field is the
re-parameterized Gompertz method, which is merged with fuzzy rankings and applied to deep
Convolutional Neural Network (CNN) models for breast cancer identification from mammography
pictures. This study demonstrates how well-established techniques can be used with creative ideas
to improve breast cancer detection precision and accuracy.
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