A radiomics extraction parameterization analysis for machine learning based regression models

• Κύριος συγγραφέας: Λαμπρινάκος, Ιωάννης
• Άλλοι συγγραφείς: Lamprinakos, Ioannis
• Γλώσσα: English
• Έκδοση: 2023
• Θέματα: Radiomics extraction; Neuroendocrine tumors; Machine learning; Artificial intelligence; Peptide receptor radionuclide therapy; Χαρακτηριστικά ακτινομικής; Νευροενδοκρινείς όγκοι; Μηχανική μάθηση; Τεχνητή νοημοσύνη; Ραδιονουκλεϊκή θεραπεία υποδοχών πεπτιδίου

Neuroendocrine Tumors (NETs) are inhomogeneous neoplasms, the most common origin sites of which being the gastrointestinal and pulmonary system. Many treatment methods have been developed to treat this type of cancer, as well as combinations of these are applied. One of these methods is Peptide Rece...