technology
VisioCyt® uses deep learning and computer vision algorithms to analyze and provide a diagnosis on digitized cytology slides.
VisioCyt® facilitates the early detection of cancer indicators, providing pathologists with a valuable tool to refine their diagnoses.
Advantages
Thanks to its algorithms, VisioCyt® performs morphological analysis of each cell, reducing interpretation biases.
By using advanced algorithms, VisioCyt® increases the sensitivity of detecting cellular abnormalities compared to traditional cytology.
VisioCyt® continuously improves its performance through the accumulation of analyzed data.
How it works
The VisioCyt® algorithms automatically analyze cytology images to detect morphological features associated with cellular abnormalities.
They combine image processing and machine learning techniques to provide a cancer diagnosis.
Validation of slide preparation according to the correct protocol.
Identification of biological elements, classification, and selection of objects of interest.
Verification of a sufficient number of objects of interest among all detected biological elements.
Characterization and classification of detected cells based on more than 10 atypia criteria.
Diagnosis based on cell types and their characteristics. A linear classifier generates a score between 0 and 1 for the slide.
WORKFLOW
Urine Sample
Cytology Slide
Slide Scanner
Machine Learning & Deep Learning
Pathologists & Cytotechnicians
SOLUTIONS
Based on VisioCyt® technology, several products have been developed for different types of cancer, providing healthcare professionals with reliable, high-performance tools specifically tailored to each pathology.
