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Comparing the performance of optimized support vector machine model in predicting efficacy of chemo-radiotherapy for advanced rectal cancer with and without a paired-difference up-sampling strategy under small sample size

Predicting the efficacy of chemo-radiotherapy for advanced rectal cancer using support vector machine model and a paired-difference up-sampling strategy under small sample size

Predicting the efficacy of neoadjuvant chemo-radiotherapy for advanced rectal cancer using random forest model and a paired-difference up-sampling strategy under small sample size

Radiomic Analysis Based on Diverse Volumetric Interests Predicts Microvascular Invasion in Solitary Hepatocellular Carcinoma

The ratio of T1 and T2 signals of MRI improves the diagnostic value of early hyperbilirubinemia brain damage in neonates

Author:Jinhong Yu  yanwei miao  Lizhi Xie  Bingbing Gao  Yu Bing  Li Yang  Ailian Liu  

Institution:GE Healthcare  The First Affiliated Hospital of Dalian Medical University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Pediatric: Brain Structure & Function  

Session Name:Pediatric Neuro: Morphometry  

Program Number:4646  

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