001450701 000__ 03569cam\a2200541\i\4500 001450701 001__ 1450701 001450701 003__ OCoLC 001450701 005__ 20230310004539.0 001450701 006__ m\\\\\o\\d\\\\\\\\ 001450701 007__ cr\cn\nnnunnun 001450701 008__ 221027s2022\\\\sz\a\\\\o\\\\\000\0\eng\d 001450701 019__ $$a1348633318 001450701 020__ $$a9783031100901$$q(electronic bk.) 001450701 020__ $$a3031100905$$q(electronic bk.) 001450701 020__ $$z9783031100895 001450701 020__ $$z3031100891 001450701 0247_ $$a10.1007/978-3-031-10090-1$$2doi 001450701 035__ $$aSP(OCoLC)1348949104 001450701 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCQ 001450701 049__ $$aISEA 001450701 050_4 $$aRC78.7.T62 001450701 08204 $$a616.99/407575$$223/eng/20221027 001450701 24500 $$aArtificial intelligence in PET/CT oncologic imaging /$$cJohn A. Andreou, Paris A. Kosmidis, Athanasios D. Gouliamos, editors. 001450701 264_1 $$aCham :$$bSpringer,$$c[2022] 001450701 264_4 $$c©2022 001450701 300__ $$a1 online resource (xiv, 151 pages) :$$billustrations (chiefly color) 001450701 336__ $$atext$$btxt$$2rdacontent 001450701 337__ $$acomputer$$bc$$2rdamedia 001450701 338__ $$aonline resource$$bcr$$2rdacarrier 001450701 5050_ $$a1. Introduction : Artificial intelligence (AI) systems for Oncology -- 2. PET in Bone and Soft tissue tumors -- 3. (CNS) PET/CT: current AI applications -- 4. PET/CT findings in Head and Neck Cancer, current AI applications -- 5. PET/CT in Lung cancer, current AI applications -- 6. Breast cancer: PET/CT imaging, AI applications -- 7. PET/CT in Gynecologic cancer, current AI applications -- 8. PET/CT in Rectal cancer, current AI applications -- 9. PET/CT in Neuroendocrine tumors, current AI applications -- 10. PET/CT in the evaluation of Adrenal gland mass -- 11. PET/CT in Renal cancer -- 12. PET/CT in Testicular cancer -- 13. PET/CT in Prostate cancer -- 14. PET/CT in Malignant Lymphomas. 001450701 506__ $$aAccess limited to authorized users. 001450701 520__ $$aThis book presents artificial intelligence applications that may help in detecting disease, defining tissue characterization (benign vs malignant), staging and correlation with molecular biomarkers. Originally positioned as a means for noninvasive molecular phenotyping and quantification in the 1970s, PET's technological improvements in the 2000s generated renewed interest in quantification, which has grown over the last five years. This progress is parallel with the development of Artificial intelligence (AI) systems for Oncology which aim at providing the best possible treatment to patients suffering from lung, breast, brain, prostate, liver and other types of cancer. The chapters provide an overview of the use of AI in PET/CT imaging for various types of cancer, and it will be an invaluable tool especially for nuclear medicine physicians and oncologists. 001450701 588__ $$aDescription based on print version record. 001450701 650_0 $$aTomography, Emission$$xData processing. 001450701 650_0 $$aTomography$$xData processing. 001450701 650_0 $$aCancer$$xTomography. 001450701 650_0 $$aArtificial intelligence$$xMedical applications. 001450701 655_0 $$aElectronic books. 001450701 7001_ $$aAndreou, John A.,$$eeditor. 001450701 7001_ $$aKosmidis, Paris A.,$$eeditor. 001450701 7001_ $$aGouliamos, Athanasios D.,$$eeditor. 001450701 77608 $$iPrint version:$$tARTIFICIAL INTELLIGENCE IN PET/CT ONCOLOGIC IMAGING.$$d[Place of publication not identified] : SPRINGER, 2022$$z3031100891$$w(OCoLC)1322811256 001450701 852__ $$bebk 001450701 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-10090-1$$zOnline Access$$91397441.1 001450701 909CO $$ooai:library.usi.edu:1450701$$pGLOBAL_SET 001450701 980__ $$aBIB 001450701 980__ $$aEBOOK 001450701 982__ $$aEbook 001450701 983__ $$aOnline 001450701 994__ $$a92$$bISE