SVM classifier of cervical histopathology images based on texture and morphological features
CONCLUSIONS: The classification accuracy of the SVM combining the four features is 96.8%, and the proposed nucleus feature plays a key role in the SVM classification of cervical histopathology images.PMID:35754238 | DOI:10.3233/THC-220031
Source: Technology and Health Care - Category: Medical Devices Authors: Siqi He Bo Xiao Huajiang Wei Shenjiao Huang Tongsheng Chen Source Type: research
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