A Machine Learning Method to Predict Pathological Complete Response of Esophageal Cancer after Neoadjuvant Chemoradiotherapy with Clinicohematological Markers and MR Radiomics: A Multi Center Study
第一作者机构:[1]Chinese Acad Med Sci & Peking Union Med Coll, Dept Radiat Oncol, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China
推荐引用方式(GB/T 7714):
Liu Y.,Wang Y.,Ma Z.,et al.A Machine Learning Method to Predict Pathological Complete Response of Esophageal Cancer after Neoadjuvant Chemoradiotherapy with Clinicohematological Markers and MR Radiomics: A Multi Center Study[J].INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS.2023,117(2):E318-E318.
APA:
Liu, Y.,Wang, Y.,Ma, Z.,Bao, Y.,Zhang, W....&Hui, Z..(2023).A Machine Learning Method to Predict Pathological Complete Response of Esophageal Cancer after Neoadjuvant Chemoradiotherapy with Clinicohematological Markers and MR Radiomics: A Multi Center Study.INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS,117,(2)
MLA:
Liu, Y.,et al."A Machine Learning Method to Predict Pathological Complete Response of Esophageal Cancer after Neoadjuvant Chemoradiotherapy with Clinicohematological Markers and MR Radiomics: A Multi Center Study".INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS 117..2(2023):E318-E318