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| 008 | 221022s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783031100901 | ||
| 024 | 7 |
_a10.1007/978-3-031-10090-1 _2doi |
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_aTR-AnTOB _beng _cTR-AnTOB _erda |
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_aArtificial Intelligence in PET/CT Oncologic Imaging _h[electronic resource] / _cedited by John A. Andreou, Paris A. Kosmidis, Athanasios D. Gouliamos. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 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. | ||
| 650 | 0 | _aRadiology. | |
| 650 | 0 | _aNuclear medicine. | |
| 650 | 0 | _aOncology. | |
| 650 | 0 | _aComputer science. | |
| 650 | 1 | 4 | _aRadiology. |
| 650 | 2 | 4 | _aNuclear Medicine. |
| 650 | 2 | 4 | _aOncology. |
| 650 | 2 | 4 | _aComputer Science. |
| 653 | 0 | _aNeoplasms -- diagnostic imaging | |
| 653 | 0 | _aPositron Emission Tomography Computed Tomography | |
| 653 | 0 | _aMedical Informatics Applications | |
| 653 | 0 | _aArtificial Intelligence | |
| 700 | 1 |
_aAndreou, John A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aKosmidis, Paris A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aGouliamos, Athanasios D. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-031-10090-1 _3Springer eBooks _zOnline access link to the resource |
| 942 |
_2NLM _cEBK |
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| 041 | _aeng | ||