Automated Detection of Lung Cancer at Ultralow dose PET/CT by Deep Neural Networks - Initial results

Lung cancer is the most frequent type of cancer across genders and the most common reason for cancer-related death worldwide [1]. Hybrid positron emission tomography/computed tomography (PET/CT) using 18F-fluorodeoxyglucose (FDG) is an established imaging method for the staging of patients with lung cancer [2]. Recently, the use of artificial intelligence and more specifically deep learning has produced promising results in various applications in medicine, including automated skin cancer detection [3] or automated Alzheimer disease detection based on FDG-PET data [4].

Source: Lung Cancer - November 3, 2018 Category: Cancer & Oncology Authors: Moritz Schwyzer, Daniela A. Ferraro, Urs J. Muehlematter, Alessandra Curioni-Fontecedro, Martin W. Huellner, Gustav K. von Schulthess, Philipp A. Kaufmann, Irene A. Burger, Michael Messerli Source Type: research