Zhenghan Yang

An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration

2023 · 15 Zit. · Cancer Medicine

Using a classification model for determining the value of liver radiological reports of patients with colorectal cancer

2022 · 10 Zit. · Frontiers in Oncology

The influence of artificial intelligence assistance on the diagnostic performance of CCTA for coronary stenosis for radiologists with different levels of experience

2022 · 8 Zit. · Acta Radiologica

A Machine Learning Model Based on Unsupervised Clustering Multihabitat to Predict the Pathological Grading of Meningiomas

2022 · 4 Zit. · BioMed Research International

Performance of Natural Language Processing Model in Extracting Information from Free-Text Radiology Reports: A Systematic Review and Meta-Analysis

2025 · 1 Zit. · Journal of Imaging Informatics in Medicine