Brief Description

According to GLOBOCAN 2012, Breast Cancer is the most common cancer among women with nearly 1.7 million new cases. Breast cancer is curable if detected at an early stage.
mCAD is a solution for breast cancer screening at early cancer detection centers. The system will analyze X-ray images (mammograms) of breast to detect lesions indicative of malignancy.
 

Main uses and domain

• Can be used for Breast Cancer screening at early cancer detection centers.

• Can be used to automatically detect and highlight breast cancer lesions indicative of malignancy.

• Can be used as Breast Cancer diagnosis tool having GUI with multiple hanging protocols, zooming, image inversion and measurements

• Can be used for BI-RADS standard reporting for mammography

Features and Technical Specifications

• Automatically detects breast cancer lesions like mass, calcification and architectural distortion

• Analyses mammograms for breast cancer lesions and classifies the case as either NORMAL or REVIEW. REVIEW cases are re-screened by the radiologists for final conclusion

• Automatic identification of benign calcification and microcalcification clusters

• CAD marks are highlighted for a second look by the experts

• CAD GUI with multiple hanging protocols, zooming, image inversion and measurements

• Supports BI-RADS standard reporting format and statistical reporting
   

Platform required(if any)

The hardware of CAD Workstation should have the following minimum configuration

• Quad Core processor or above

• 16 GB RAM

• 2 TB HDD

• High resolution (at least 5 MP) dual view Medical imaging workstation-monitor certified for mammogram review with required accessories including compatible graphics card

• UPS backup as required shall be included for the workstation and monitors

• Hardware required to provide input to the system

• Full Field Digital Mammography or
  Analog Mammography with Certified Mammography Film Digitizer

 Download Brochure

Contact Details for Techno Commercial Information

DR ALEXANDER G
Group Head,
Health Informatics & Software Technology Group,
C-DAC,Thiruvananthapuram
email - alex@cdac.in