Non Animal Testing Database
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Computational method to diagnose breast cancer

2017
Northwest University, Xi’an, China
The study describes the development of a computational method to detect clustered microcalcifications from mammograms for early diagnosis of breast cancer. Based on a series of algorithms, this method allows classifying the samples in lesioned or normal breast tissues. When tested with synthetic and real samples, it reduces false-positive rates while maintaining the true positive rate. This computational tool can potentially be useful for the early diagnosis of breast cancer.
Grouped fuzzy SVM with EM-based partition of sample space for clustered microcalcification detection
Jun Feng
#780
Added on: 08-01-2021
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