Breast Cancer Detection Solution

Breast Cancer Detection Solution

Ultrasound, mammography, MRI, and other imaging techniques are important means of diagnosis and treatment protocols for breast cancer. Huiying’s Breast Cancer Detection Solution runs through the patient's entire disease cycle. Huiying’s solution is a next-generation, AI-based intelligent image diagnosis and multi-modality system to help medical staff improve efficiency in imaging, diagnosis, clinical decision-making, and disease management. The technology is designed for both clinical accuracy and efficiency, which is expected to help reduce cost of diagnosis and treatment. Huiying’s breast cancer screening technology utilizes deep neural networks to support multi-modality data operations and greatly improve data processing and inference efficiency. The solution was built using the TensorFlow framework, the Intel® Distribution of OpenVINO™ toolkit, and PyTorch deep learning library and based on RetinaNet with Resnet50 as the CNN backbone.

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

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SOLUTION FEATURES

  • Whole Process Breast Cancer Detection and Clinical Decision Making Solution
    Huiying’s Breast Cancer Detection Solution covers the entire process of breast cancer treatment from preventive screening, early diagnosis to follow-up monitoring, providing a reliable end-to-end artificial intelligence solution to hospitals.

CATEGORIES

China (PRC) Worldwide Intel® Core™ Processor Family Intel® Xeon Scalable CSP - Other On-premise (Private Cloud, Other) Custom/Other Keras TensorFlow Torch/PyTorch Healthcare Models can be trained - requires labeled data Models cant be re-trained - Inference only AI Software/SaaS Linux Intel® Distribution for Python Intel® Math Kernel Library (Intel® MKL) Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) Intel® Distribution of OpenVINO™ toolkit InceptionV3 Proprietary ResNet50 Medical imaging, analysis and diagnostics Deep Learning