CT-based radiomics deep learning to predict lymph node metastasis in tumors

Researchers at University of Tsukuba have developed an imaging model to predict preoperative lymph node metastasis in nonfunctional pancreatic neuroendocrine tumors by combining radiomics (data analysis based on radiological images) and deep learning; this model has been developed as a new method for noninvasively determining preoperative lymph node metastasis. This new model enables more accurate diagnosis and selection of treatment strategies.

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