CerviSCAN - AI based Cervical Cancer Screening

CerviSCAN - AI based Cervical Cancer Screening

CerviSCAN is an automated system for early detection and screening of cervical cancer by analysing digitized PAP smear. The system applies advanced image processing and Deep Learning techniques to classify specimen as cancerous or not. CerviSCAN screens out majority of negative slides, reducing workload of human expert.

Brief Description

Cervical cancer caused 2,80,000 deaths annually worldwide. More than 70,000 of these occur in India. Absence of systematic PAP screening programs coupled with highly skewed ratio of trained cytologists in relation to huge population of our country makes it leading cause of cancer deaths in the India

Main uses and domain

  • Primary/Family Health centres.
  • Mobile Ophthalmology Units
  • Population screening camps

Features and Technical Specifications

  • Analyses cervical cells for precancerous lesions and classifies the slide as NEGATIVE or REVIEW. REVIEW slides are re-screened by an expert for final conclusion.
  • Automatically detects and removes biological artifacts
  • Supports standard Bethesda format for final reporting
  • Slide & Image level processing and automated batch processing
  • Able to screen out 60% of NEGATIVE cases thereby improving the screening efficiency while detecting 80% of positive cases with 93% accuracy in high grade lesions.
  • Printable formatted statistical reports in PDF & HTML
  • Configurable for multiple microscopes and users.
Platform required(if any)
  • Automated Slide scanner (optional)
  • Cyto-centrifuge for smear preparation(optional)
  • Automated slide Stainer(optional)
  • Software for image capture and archival along with patient detail
     
Workstation
  • Core i5, 3 Ghz with 4GB RAM or better configuration
  • Monitor with 1920x1080 resolution
  • Windows 7 64 bit OS
Workspace
  • Motorized table with height adjustment for mounting the fundus camera
  • Enclosed room with controlled lighting, so as not to interfere with the imaging
     

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Contact Details for Techno Commercial Information


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