Mass Detection in Breast Using Transfer Learning for Computer Aided Diagnosis
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Updated
Jan 19, 2019 - MATLAB
Mass Detection in Breast Using Transfer Learning for Computer Aided Diagnosis
A mammographic mass detection and segmentation approach using a multi-scale morphological sifting approach integrated with a mean shift filter, k-means, and post-processing that detects and segments breast masses. This approach was on the InBreast mammographic dataset for Image Analysis course in MAIA Master's degree.
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