Automated detection and classification of tumor histotypes on dynamic PET imaging data through machine-learning driven voxel classification - Bianchetti, G.; Taralli, S.; Vaccaro, M.; Indovina, L.; Mattoli, M.V.; Capotosti, A.; Scolozzi, V.; Calcagni, M.L.; Giordano, A.; De Spirito, M.; Maulucci, G. (Computers in biology and medicine, 2022)
Keywords: Adenocarcinoma; Algorithms; Automated classification; Automation; Classification; Computed tomography; Data acquisition; Dynamic PET imaging; Fibroblasts; Fluorine; Fluorine isotopes; Fluorodeoxyglucose F18; Gamma rays; Glucose; Granulation; Humans; Inflammation; Internal Medicine; Kinetics; Learning algorithms; Leukocytes (neutrophilic); Localization; Lung cancer; Lung histotypes; Lung Neoplasms - diagnostic imaging; Lung Neoplasms - pathology; Lymph; Lymph Nodes - pathology; Lymphatic Metastasis - pathology; Lymphatic system; Machine Learning; Macrophages; Medical imaging; Metabolism; Metastases; Metastasis; Nodes; Other; Physiology; Positron emission; Positron emission tomography; Positron Emission Tomography Computed Tomography - methods; Positron-Emission Tomography - methods; Post-radiation; Radiation; Radiopharmaceuticals; Temporal variations; Thoracic surgery; Tomography; Tumors; Rome Italy; Italy; Dynamic PET imaging; Metastasis; Automated classification; Lung histotypes; Machine learning