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5
介入放射学杂志2010年9月第19卷第9期J Intervent Radiol 2010,.pdf
介入放射学杂志2010年9月第19卷第9期J Intervent Radiol 2010,
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4
breast cancer phenotype influences mri response evaluation after neoadjuvant chemotherapy.[2019][eur j radiol].pdf
breast cancer phenotype influences mri response evaluation after neoadjuvant chemotherapy.[2019][eur j radiol]
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20
imaging of hepatic hemangioma_ from a to z.[2020][abdom radiol (ny)].pdf
imaging of hepatic hemangioma_ from a to z.[2020][abdom radiol (ny)]
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7
fully automatic segmentation of type b aortic dissection from cta images enabled by deep learning.[2019][eur j radiol].pdf
fully automatic segmentation of type b aortic dissection from cta images enabled by deep learning.[2019][eur j radiol]
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12
long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning-assisted nodule segmentation.[2020][eur radiol].pdf
CHESTLong-termfollow-up persistentpulmonary pure ground-glassnodules deeplearning–assisted nodule se
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10
dual-energy ct-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.[2020][eur radiol].pdf
GASTROINTESTINALDual-energyCT–based deep learning radiomics can improve lymphnode metastasis risk pr
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7
the ultrasonic whirlpool sign combined with plasma d-dimer level in adnexal torsion.[2018][eur j radiol][10.1016_j.ejrad.2018.08.025].pdf
the ultrasonic whirlpool sign combined with plasma d-dimer level in adnexal torsion.[2018][eur j radiol][10.1016_j.ejrad.2018.08.025]
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8
the cluster of black pearls sign of sarcoid lymphadenopathy a new sign on thin-section contrast-enhanced multidetector ct.[2017][clin radiol][10.10.pdf
the cluster of black pearls sign of sarcoid lymphadenopathy a new sign on thin-section contrast-enhanced multidetector ct.[2017][clin radiol][10.10
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