Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics

Minling Zhuo; Yi Tang; Jingjing Guo; Qingfu Qian; Ensheng Xue; Zhikui Chen

doi:10.1007/s10396-023-01373-0

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Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics

Minling Zhuo Yi Tang Jingjing Guo Qingfu Qian Ensheng Xue Zhikui Chen

Year: 2023 Journal: Journal of Medical Ultrasonics Vol: 51 (1)Pages: 71-82 Publisher: Springer Science+Business Media

DOI: 10.1007/s10396-023-01373-0

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Keywords:

Artificial intelligence Support vector machine Random forest Machine learning Receiver operating characteristic Ultrasound McNemar's test Gradient boosting Logistic regression Computer science Naive Bayes classifier Nomogram Medicine Radiology Oncology Statistics Mathematics

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Gastrointestinal Tumor Research and Treatment

Health Sciences → Medicine → Gastroenterology

Gastric Cancer Management and Outcomes

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics

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