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

S Mo, Y Wang, C Huang, W Wu, S Qin - Heliyon, 2024 - cell.com
Objectives This research aimed to retrospectively construct and authenticate ultrasomics
models using endoscopic ultrasonography (EUS) images for forecasting the pathological …

Value of computed tomography scan for detecting lymph node metastasis in early esophageal squamous cell carcinoma

Y Zeng, Y Liu, J Li, B Feng, J Lu - Annals of Surgical Oncology, 2024 - Springer
Background The necessity of computed tomography (CT) scan for detecting potential lymph
node metastasis (LNM) in early esophageal squamous cell carcinoma (ESCC) before …

Enhancing prognostic prediction in hepatocellular carcinoma post-TACE: a machine learning approach integrating radiomics and clinical features

M Zhang, B Kuang, J Zhang, J Peng, H Xia… - Frontiers in …, 2024 - frontiersin.org
Objective This study aimed to investigate the use of radiomics features and clinical
information by four machine learning algorithms for predicting the prognosis of patients with …

Endoscopic ultrasonography-based intratumoral and peritumoral machine learning radiomics analyses for distinguishing insulinomas from non-functional pancreatic …

S Mo, C Huang, Y Wang, H Zhao, W Wu… - Frontiers in …, 2024 - frontiersin.org
Objectives To develop and validate radiomics models utilizing endoscopic ultrasonography
(EUS) images to distinguish insulinomas from non-functional pancreatic neuroendocrine …

Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic …

S Mo, C Huang, Y Wang, S Qin - BMC Medical Imaging, 2025 - Springer
Objectives The objective is to develop and validate intratumoral and peritumoral ultrasomics
models utilizing endoscopic ultrasonography (EUS) to predict pathological grading in …