Application of Machine Learning Analyses Using Clinical and [18F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer

被引：0
|
作者：
Kodai Kawaji
Masatoyo Nakajo
Yoshiaki Shinden
Megumi Jinguji
Atsushi Tani
Daisuke Hirahara
Ikumi Kitazono
Takao Ohtsuka
Takashi Yoshiura
机构：
[1] Kagoshima University,Department of Radiology
[2] Graduate School of Medical and Dental Sciences,Department of Digestive Surgery, Breast and Thyroid Surgery
[3] Kagoshima University,Department of Pathology
[4] Graduate School of Medical and Dental Sciences,undefined
[5] Department of Management Planning Division,undefined
[6] Harada Academy,undefined
[7] Kagoshima University,undefined
[8] Graduate School of Medical and Dental Sciences,undefined
来源：
Molecular Imaging and Biology | 2023年 / 25卷
关键词：
Breast cancer; [; F]-FDG; PET/CT; Machine learning; Prognosis;
D O I：
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中图分类号：
学科分类号：
摘要：
引用
收藏
页码：923 / 934
页数：11
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