A deep learning and radiomics fusion model based on contrast-enhanced computer tomography improves preoperative identification of cervical lymph node metastasis of oral squamous cell carcinoma
ConclusionA fusion model combining radiomics and deep learning approaches outperformed other single-technique models and showed great potential to accurately predict cervical LNM in patients with OSCC.Clinical relevanceThe fusion model can complement the preoperative identification of LNM of OSCC performed by the clinicians.
Source: Clinical Oral Investigations - Category: Dentistry Source Type: research
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