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Artificial intelligence in PET/CT oncologic imaging

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence in PET/CT oncologic imagingedited by John A. Andreou, Paris A. Kosmidis, Athanasios D. Gouliamos.
其他作者:	Andreou, John A.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xiv, 151 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Tomography, EmissionData processing.
電子資源:	https://doi.org/10.1007/978-3-031-10090-1
ISBN:	9783031100901$q(electronic bk.)

Artificial intelligence in PET/CT oncologic imaging
Artificial intelligence in PET/CT oncologic imaging[electronic resource] /edited by John A. Andreou, Paris A. Kosmidis, Athanasios D. Gouliamos. - Cham :Springer International Publishing :2022. - xiv, 151 p. :ill. (chiefly color), digital ;24 cm.

1. 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.

This 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.

ISBN: 9783031100901$q(electronic bk.)

Standard No.: 10.1007/978-3-031-10090-1doiSubjects--Topical Terms:

930948
Tomography, Emission
--Data processing.

LC Class. No.: RC78.7.T62 / A77 2022

Dewey Class. No.: 616.99407575

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520 $a This 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.
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