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Titlebook: Artificial Intelligence in PET/CT Oncologic Imaging; John A. Andreou,Paris A. Kosmidis,Athanasios D. Go Book 2022 The Editor(s) (if applic

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發(fā)表于 2025-3-21 18:53:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Artificial Intelligence in PET/CT Oncologic Imaging
影響因子2023John A. Andreou,Paris A. Kosmidis,Athanasios D. Go
視頻videohttp://file.papertrans.cn/163/162514/162514.mp4
發(fā)行地址Explores AI applications to detect disease, tissue characterization, staging and correlation with molecular biomarkers.Presents radiomic signatures to predict response to therapy, recurrence risk scor
圖書(shū)封面Titlebook: Artificial Intelligence in PET/CT Oncologic Imaging; John A. Andreou,Paris A. Kosmidis,Athanasios D. Go Book 2022 The Editor(s) (if applic
影響因子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..
Pindex Book 2022
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https://doi.org/10.1007/978-94-017-1536-2ncer, tackling conventional imaging shortcomings and diagnostic controversies, such as accurate initial staging of early-stage patients, post-chemotherapy residual mass characterization, workup of patients with rising tumor markers, and negative or equivocal conventional imaging and predicting response to treatment.
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Emission of Pesticides into the Air,PET/CT has overtaken CT and MRI as a diagnostic tool for the diagnosis and follow-up of neuroendocrine tumors. However integration of AI into PET/CT is still lagging behind compared to other realms of imaging applications, necessitating increased language consistency regarding reporting of neuroendocrine tumors.
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Advances in Neuroendocrine Tumor Imaging, Including PET and Artificial Intelligence (AI),PET/CT has overtaken CT and MRI as a diagnostic tool for the diagnosis and follow-up of neuroendocrine tumors. However integration of AI into PET/CT is still lagging behind compared to other realms of imaging applications, necessitating increased language consistency regarding reporting of neuroendocrine tumors.
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