A virtual biopsy study of microsatellite instability in gastric cancer based on deep learning radiomics.
Zinian JiangWentao XieXiaoming ZhouWenjun PanSheng JiangXianxiang ZhangMaoshen ZhangZhenqi ZhangYun LuDongsheng WangPublished in: Insights into imaging (2023)
Using preoperative imaging and clinical information, we developed a deep-learning-based radiomics model for the non-invasive evaluation of MSI in GC patients. This model maybe can potentially support clinical treatment decision making for GC patients.
Keyphrases
- deep learning
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- prognostic factors
- healthcare
- machine learning
- high resolution
- artificial intelligence
- computed tomography
- squamous cell carcinoma
- patients undergoing
- convolutional neural network
- lymph node metastasis
- mass spectrometry
- health information
- magnetic resonance imaging
- patient reported
- social media