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July 1, 2024HeliyonOpen Access

A novel endoscopic ultrasomics-based machine learning model and nomogram to predict the pathological grading of pancreatic neuroendocrine tumors

Shuangyang Mo Yingwei Wang Cheng Huang Wen-Hong Wu Shanyu Qin

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Abstract

This research aimed to retrospectively construct and authenticate ultrasomics models using endoscopic ultrasonography (EUS) images for forecasting the pathological grading of pancreatic neuroendocrine tumors (PNETs).

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Cite This Study

Mo et al. (2024) studied this question.

synapsesocial.com/papers/68e61deab6db6435875afb78 https://doi.org/10.1016/j.heliyon.2024.e34344

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