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Updated: Jun 16, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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MpMRIと18F-PSMA-PET/CTを用いた前立腺がんにおける前立腺外拡張を予測するための多様画像学深層学習モデル

Fei Yao1,2, Heng Lin1, Ying-Nan Xue1,2

  • 1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, No. 1 of Xuefubei Road, Ouhai District, Wenzhou, 325000, Zhejiang Province, China.

Cancer imaging : the official publication of the International Cancer Imaging Society
|August 20, 2025
PubMed
まとめ

MRIとPET/CTスキャンを組み合わせた新しいディープラーニングモデルは 前立腺がんにおける前立腺外拡張を正確に予測します このツールは 放射線科医の精度を改善し 個別化された治療決定に役立ちます

キーワード:
ディープラーニング前立腺外延伸磁気共鳴画像マルチモダルイメージングポジトロン放出トモグラフィー前立腺がん

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Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
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