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Deep learning-based PET image denoising and reconstruction: a review
This review focuses on positron emission tomography (PET) imaging algorithms and traces
the evolution of PET image reconstruction methods. First, we provide an overview of …
the evolution of PET image reconstruction methods. First, we provide an overview of …
AI in radiology: opportunities and challenges
Artificial intelligence's (AI) emergence in radiology elicits both excitement and uncertainty. AI
holds promise for improving radiology with regards to clinical practice, education, and …
holds promise for improving radiology with regards to clinical practice, education, and …
Radiation-targeted immunotherapy: A new perspective in cancer radiotherapy
L Xuan, C Bai, Z Ju, J Luo, H Guan, PK Zhou… - Cytokine & Growth …, 2024 - Elsevier
In contemporary oncology, radiation therapy and immunotherapy stand as critical
treatments, each with distinct mechanisms and outcomes. Radiation therapy, a key player in …
treatments, each with distinct mechanisms and outcomes. Radiation therapy, a key player in …
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Using a Longitudinally Aware Segmentation Network
“Just Accepted” papers have undergone full peer review and have been accepted for
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …
A Review of The Applications of Deep Learning In the Treatment of Glioma
X Yang, Z Yang, Q Xu, W He - Proceedings of the 2023 4th International …, 2023 - dl.acm.org
Glioma is a malignant tumor originating from glial cells in the brain. It is characterized by
high disability rates, poor prognosis, frequent recurrence, and short overall survival. Despite …
high disability rates, poor prognosis, frequent recurrence, and short overall survival. Despite …
PET 編 8. AI 画像再構成の研究最前線
橋本二三生 - 日本放射線技術学会雑誌, 2024 - jstage.jst.go.jp
画像再構成の論文が Nature 本誌に掲載されると, 誰が予想できただろうか.
少なくとも私には想像もつかなかった. 2018 年の Automated transform by manifold …
少なくとも私には想像もつかなかった. 2018 年の Automated transform by manifold …
Multi-modality Based Low Dose PET Image Enhancement for Detecting Myocardial Fibrosis
X Qiao, H Wang, W Ding, B Li… - 2024 IEEE Nuclear …, 2024 - ieeexplore.ieee.org
[68 Ga] Ga-DOTA-FAPI-04 PET is an effective tool for non-invasively quantifying myocardial
fibroblast activation. However, ensuring high PET image quality requires high radiation dose …
fibroblast activation. However, ensuring high PET image quality requires high radiation dose …
PET 編 9. 臨床用装置での AI 画像再構成法の現状
山尾天翔， 三輪建太， 宮司典明 - 日本放射線技術学会雑誌, 2024 - jstage.jst.go.jp
陽電子断層撮像 (positron emission tomography: PET) における人工知能 (artificial intelligence:
AI) を用いた画像再構成法 1) には, 収集された PET データから直接画像再構成を行う直接 AI …
AI) を用いた画像再構成法 1) には, 収集された PET データから直接画像再構成を行う直接 AI …