Detection and Characterization of Subsolid Juxta-pleural Lung Nodule from CT Images

Lung cancer is the most frequent and lethal malignant tumor. Detection and characterization of pulmonary nodules in Computed Tomography images (CT) is a primordial task for lung cancer diagnosis at early stages. As juxta-pleural nodules are directly linked to the lung pleura, they contain an open contour which makes their extraction a challenging task. In this paper, we propose an automatic detection and classification method of a part-solid juxta-pleural nodule. The proposed method was tested on 18 CT scan images in axial acquisition and gave an accurate quantification of the solid component in a part-solid nodule.