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机译:临床脑肿瘤的质量由人类和机器学习工具判断
Departments of Radiology and Clinical ResearchUniversity of BernBern Switzerland;
Centro de Investigación Biomédica en Red en Bioingeniería Biomateriales y Nanomedicina (CIBER‐BBN;
Graduate School for Cellular and Biomedical SciencesUniversity of BernBern Switzerland;
DRNN Institute of Diagnostic and Interventional Neuroradiology/SCANUniversity Hospital BernBern;
CRUK Cambridge InstituteUniversity of CambridgeCambridge United Kingdom;
Centro de Investigación Biomédica en Red en Bioingeniería Biomateriales y Nanomedicina (CIBER‐BBN;
Departament de Bioquímica i Biologia MolecularUnitat de Bioquímica de Biociències Edifici Cs;
Departments of Radiology and Clinical ResearchUniversity of BernBern Switzerland;
machine learning; quality control; quality assessment; inter‐rater variability; brain tumors; magnetic resonance spectroscopy; classification;
机译:临床脑肿瘤的质量由人类和机器学习工具判断
机译:用学习矢量量化神经网络评估人脑肿瘤组织的拉曼光谱
机译:实时,现场,基于红外光谱分析的内在人类癌症的机器学习鉴定方法 - 临床结果
机译:多阵脑脑肿瘤分类使用高光谱成像和监督机器学习
机译:人脑肿瘤中血脑通透性的对比增强CT测量。
机译:基于深度学习的人脑高光谱图像体内鉴定胶质母细胞瘤肿瘤的框架
机译:基于机器的低质量光谱抑制和磁共振光谱图像估计脑肿瘤概率