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Predicting pathological highly invasive lung cancer from preoperative [18F]FDG PET/CT with multiple machine learning models |
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Titel: |
Predicting pathological highly invasive lung cancer from preoperative [18F]FDG PET/CT with multiple machine learning models |
Auteur: |
Onozato, Yuki Iwata, Takekazu Uematsu, Yasufumi Shimizu, Daiki Yamamoto, Takayoshi Matsui, Yukiko Ogawa, Kazuyuki Kuyama, Junpei Sakairi, Yuichi Kawakami, Eiryo Iizasa, Toshihiko Yoshino, Ichiro |
Verschenen in: |
European journal of nuclear medicine and molecular imaging |
Paginering: |
Jaargang 50 () nr. 3 pagina's 715-726 |
Jaar: |
2022-11-17 |
Inhoud: |
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Uitgever: |
Springer Berlin Heidelberg, Berlin/Heidelberg |
Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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