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Bing Yang1, Jun Li1, Junyang Chen2
1College of Information Engineering, Sichuan Agricultural University, 46 Xinkang Road, Yucheng District, Ya'an, Sichuan 625000, China; Agricultural Information Engineering Higher Institution Key Laboratory of Sichuan Province, Ya'an, Sichuan 625000, China; Ya'an Digital Agricultural Engineering Technology Research Center, Ya'an, Sichuan 625000, China.
我们开发了ThyFusionNet,这是一种使用CT和超声波图像的深度学习模型,用于准确诊断甲状腺损伤. 这种人工智能方法显著提高了医学成像的诊断准确性和稳定性.
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06:23The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
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