System for the detection of pulmonary nudules in medical imaging

Principal Investigator

Name
Moises Vicente Márquez olivera

Degrees
Ph.D

Institution
Instituto Politécnico Nacional

Position Title
Research Professor

Email
mvmarquez@ipn.mx

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCOI-1826

Initial CDAS Request Approval
Feb 14, 2025

Title
System for the detection of pulmonary nudules in medical imaging

Summary
This project aims to develop a system using Convolutional Neural Networks (CNN) to detect pulmonary nodules in medical imaging, specifically CT and RX scans. The goal is to improve the early detection and diagnosis of lung cancer by accurately identifying nodules that may be indicative of the disease. By leveraging advanced machine learning techniques, the system will analyze medical images, highlight potential nodules, and provide critical insights to healthcare professionals.

Aims

Design, program, and implement an artificial intelligence (AI) algorithm based on convolutional neural networks (CNN) for the detection of pulmonary nodules in lung tissue.

elaborate with the radiologist to diagnose the objects detected by the AI in the lung using computed tomography, to accurately determine false positives.

Collaborators

Ing.Luis Daniel Resendiz Ventura
Dr.Moisés Vicente Márquez Olivera
Dra.Viridiana G Hernández Herrera
Dr.Amadeo José Argüelles Cruz
Dr.Antonio Gustavo Juárez Gracia
M en TA.Laura G Marrujo García
M en TA.Octavio Sánchez García