2023
DOI: 10.1007/s00330-023-09700-2
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Artificial intelligence–based prediction of cervical lymph node metastasis in papillary thyroid cancer with CT

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Cited by 9 publications
(2 citation statements)
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“…Wang et al, in turn, developed an AI model to recognize cervical lymph node metastases [88] . In their retrospective multicenter study, preoperative CT images were used to train the AI neural network.…”
Section: Resultsmentioning
confidence: 99%
“…Wang et al, in turn, developed an AI model to recognize cervical lymph node metastases [88] . In their retrospective multicenter study, preoperative CT images were used to train the AI neural network.…”
Section: Resultsmentioning
confidence: 99%
“…Wu et al proposed an end-to-end deep multimodal learning network, called the multimodal classification network, which used both clinical records and gray-scale US and CDFI images as input and corresponding metastatic status as output ( 105 ). In addition to DL models based on US images, those based on CT have been shown to be capable of predicting LNM preoperatively in patients with PTC ( 103 , 104 ). Patients with gross ETE are more likely to have LNM and distant metastasis, higher rates of tumor recurrence, and worse overall survival ( 124 ).…”
Section: Clinical Applications Of DL In Thyroid Imagingmentioning
confidence: 99%