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020 _a9783031100901
024 7 _a10.1007/978-3-031-10090-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRC270.3.T65
_b2022 EB
245 0 0 _aArtificial Intelligence in PET/CT Oncologic Imaging
_cedited by John A. Andreou, Paris A. Kosmidis, Athanasios D. Gouliamos
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XIV, 151 páginas)
_b27 ilustraciones, 24 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
505 0 _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.
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.
988 _aSpringer_Medicine_2022
650 7 _2embne
_9392696
_aCáncer
_xTomografía
650 7 _2embne
_9421371
_aInteligencia artificial en medicina
700 1 _aAndreou, John A
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKosmidis, Paris A
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGouliamos, Athanasios D
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783031100895
776 0 8 _iPrinted edition:
_z9783031100918
776 0 8 _iPrinted edition:
_z9783031100925
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-10090-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b12/2022
_dz
_eb
_zSI