[A deep learning model based on magnetic resonance imaging and clinical feature fusion for predicting preoperative cytokeratin 19 status in hepatocellular carcinoma]. [PDF]
Fang W, Xiao H, Wang S, Lin X, Chen C.
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Development and validation of a multi-modality fusion deep learning model for differentiating glioblastoma from solitary brain metastases. [PDF]
Shen S +7 more
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Deep learning-based radiomics allows for a more accurate assessment of sarcopenia as a prognostic factor in hepatocellular carcinoma. [PDF]
Liu Z +8 more
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[Clinical symptoms and cone beam computed tomography imaging analysis of patients with temporomandibular joint osteoarthritis with chewing side preference before and after treatment of stabilization splint]. [PDF]
Li X +7 more
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[Optical coherence tomography angiography image segmentation based on multi-scale dilated convolution and dual attention network]. [PDF]
Zeng Q, Xiao Z, He B, Peng R.
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[Electroencephalogram emotion recognition based on state-space models combined with spatio-temporal feature]. [PDF]
Wang C, Zhang J, Dou J, Wang C, Chang W.
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[Cluster-guided adaptive Transformer for muscle fatigue prediction]. [PDF]
Fan B, Bao X, Ding L, Wu J.
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[Advances in the Application of Artificial Intelligence in Clinical Microbiological Testing]. [PDF]
Li H, Song Z, Zhao Y, Li M.
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[Drug repositioning prediction based on dynamic feature learning on heterogeneous graphs]. [PDF]
Zhu H, Guo Y, Xin X, Li C, Zhou D.
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[A Transformer-based model using laboratory indicators efficiently differentiates ovarian cancer]. [PDF]
Tan S +6 more
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