HCL Diagnostic Decision Support - Medical Imaging

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.

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



  • 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.



Combatting Covid-19WorldwideIntel® Core™ Processor FamilyCSP - Amazon Web ServicesCSP - Google CloudCSP - Microsoft AzureCSP - OtherHybrid CloudOn-premise (Private Cloud, Other)KerasTensorFlowHealthcareModels can be trained - requires labeled dataAI ApplianceAI Platform as a Service (AI PaaS)Linux OtherWindowsIntel® Math Kernel Library (Intel® MKL)Intel® Distribution of OpenVINO™ toolkitOtherMedical imaging, analysis and diagnosticsDeep Learning