Development and evaluation of deep-learning algorithm for the classification of lung nodules detected on CT-Scan
Due to the increase use of screening programs and the increase of incidentally detected pulmonary nodules by LD-CT, a high number of nodules prompt further, invasive testing but do not result in a lung cancer diagnosis.
This project will entail developing CNN based algorithms, that can help discriminate malignant nodules from benign or indolent lesions to limit the number of unnecessary diagnostic procedures, associated complications and expenditure.
1. Develop computational tools to automatically extract image features from CT data.
2. Develop methods to classify lesions based on the extracted image features.
3. Evaluate the algorithm’s classification accuracy as well as the prognostic value
Anne Osdoit, MD Start
Lukas Guenther, MD, MD start