Using Photon-Counting CT Images for Lung Nodule Classification

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Leonie Basso, Zahra Ahmadi, Steffen Oeltze-Jafra, Eike Petersen, Hoen-oh Shin, Andrea Schenk

Published: 10 Mar 2025, Last Modified: 20 Nov 2025CrossrefEveryoneRevisionsCC BY-SA 4.0
Abstract: An automatic classification of the malignancy of lung nodules in computed tomography (CT) scans can support early detection of lung cancer, which is crucial for the treatment success. The novel photon-counting CT (PCCT) technology enables high image quality with a low radiation dose and provides additional spectral information. This research focuses on whether PCCT scans offer a benefit in the automatic classification of lung nodules. Establishing a dataset of PCCT images poses several challenges, such as the extraction of annotations or the data imbalance.