Cervical Cancer Screening

Cervical Cancer Screening

Cervical cancer is the fourth most frequent cancer in women with an estimated over half million new cases in 2018 representing 6.6% of all female cancers. KFBIO develops Deep Learning algorithm and models in detecting and classifying precancerous changes and abnormalities in pap test results. Optimized with Intel TensorFlow and OpenVINO, KFBIO solution improves diagnostic efficiency and accuracy which leads to early diagnosis and medical intervention.

*Please note that member solutions are often customizable to meet the needs of individual enterprise end users.

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SOLUTION FEATURES

  • High accuracy on true-negative filtering
    Improving diagnostic efficiency and accuracy with high TNR filtering and high detection accuracy

RESOURCES

CATEGORIES

China (PRC) Intel® Xeon Scalable TensorFlow Healthcare Models cant be re-trained - Inference only Linux Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) Intel® Distribution of OpenVINO™ toolkit Other Image/Object Detection/Recognition/Classification Medical imaging, analysis and diagnostics Deep Learning