PulmoScan
Principal Investigator
Name
abdellaoui Malek
Degrees
Data science engineer
Institution
École supérieure privée d'ingénierie et de technologie
Position Title
student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1405
Initial CDAS Request Approval
Mar 12, 2025
Title
PulmoScan
Summary
PulmoScan is an AI-driven research project focused on detecting and classifying pulmonary nodules in medical imaging. Our goal is to enhance early lung disease detection through advanced deep learning models. The project is conducted at ESPRIT University by the Data Minions research group, aiming to refine dataset quality and improve model accuracy. We are seeking access to high-quality annotated pulmonary imaging datasets to enhance our research and validate our AI models.
Aims
We are requesting staged data to ensure a structured and systematic approach to model development in Project PulmoScan. Staged data allows us to work with different levels of preprocessing, from raw medical images to fully annotated datasets, enabling us to refine our AI models progressively. This approach helps in assessing the impact of preprocessing techniques, handling potential biases, and improving generalization. Additionally, access to staged data enhances reproducibility, making it easier to validate and benchmark our deep learning models for pulmonary nodule detection and classification.
Collaborators
Ben Mohamed Malak
Guenichi Ibrahim
Bettaieb Ahmed
Kacem Skander
Derouich Samira