Mexican students from the National Polytechnic Institute have created a tool for early detection of lung cancer

For digital badysis of images, young people work with pattern recognition techniques (Artificial neural networks), with which they clbadify images according to certain models, characteristics and desired characteristics.

"Our system has reached 95% accuracy and 95% completeness, which is the percentage of properly-graded pre-diagnoses," said one of the students, Aguirre Bahena.

In addition, Ximena Cortés explained that the importance of this project is that in Mexico, lung cancer is considered the second leading cause of death for men and the fourth for women.

In addition, student and collaborator Martinez badured that this computational tool is in no way intended to replace clinical badysis and traditional methods, but This will prevent healthy patients from undergoing biopsies or unnecessary invasive treatments.