首页|Second Hospital of Jilin University Reports Findings in Machine Learning (Develo pment and validation of a prediction model for malignant sinonasal tumors based on MR radiomics and machine learning)
Second Hospital of Jilin University Reports Findings in Machine Learning (Develo pment and validation of a prediction model for malignant sinonasal tumors based on MR radiomics and machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “This stud y aimed to utilize MR radiomics-based machine learning classifiers on a large-sa mple, multicenter dataset to develop an optimal model for predicting malignant s inonasal tumors and tumor-like lesions. This study included 1711 adult patients (875 benign and 836 malignant) with sinonasal tumors or tumor-like lesions from three institutions.”
ChangchunPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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