HCL Diagnostic Decision Support - Medical Imaging
The process of diagnosing a patient with chest abnormality is done by radiologists and doctors with a lot of experience and expertise. This involves looking for the presence of foreign bodies, infiltrates, and other information to determine the type of infection so that proper medication can be suggested for cure. Diagnostic Decision Support for Medical Imaging (DDSM) solution is based on Deep Learning technology and is intended to help the radiologist for classifying the type of infection present in the patient's chest X-ray. DDSM is developed on Intel® Core™ Processor environment and optimized using Intel® Distribution of OpenVINO™ toolkit for high performance and quicker inference.
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- Thoracic diseases detection with Deep Learning
DDSM Utilizes the power of Deep Learning to detect the presence of thoracic disease in patients Chest Xray.
- Optimized inference
DDSM utilizes the power of Intel® Distribution of OpenVINO™ toolkit to get highspeed inference.