CytoSiA OptraSCAN’s AI & ML- based Image Analysis Solution
For Assessment of Cytology Slides
Cervical cancer is the second most common gynecologic cancer worldwide. This cancer, unlike the others, does not show any symptoms in its early stage, resulting in increased mortality among women. Cervical cancer can be prevented if effective screening measures are set up. Manual analysis of cytology specimens is extremely tedious, time-consuming and prone to human error, thereby generating the need for computer-assisted tools.
OptraSCAN’s CytoSiA offers a plethora of features, in order to effectively screen liquid-based cytology slides, and pap smears to differentiate between normal and abnormal cervical cells. In addition to the cells, infections could be further categorized as reactive, endometrial, actinomyces, candida, clue cells, trichomonas vaginalis, and herpes. It also helps in the identification of entities including blood, inflammation, and lubricant.
In short, it presents to the screener images of fields that would be essential in providing a cytological interpretation, place them into categories, and filter out the redundancies, thereby offering rapid and accurate diagnosis, for the next course of treatment.
High Resolution Whole Slide Screening
Abnormal Cell Identification
- Automated computation of sample adequacy for the whole slide cytology image
- Identification of abnormal cells and other entities based on morphological features and AI based classification
- Identification of reactive, endometrial, actinomyces, candida, clue cells, trichomonas vaginalis, and herpes entities
- Identification of entities including blood, inflammation, and lubricant