A5070082888- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Colorectal Cancer Surgical Treatments
- Cancer Diagnosis and Treatment
- MRI in cancer diagnosis
- Peptidase Inhibition and Analysis
- Metastasis and carcinoma case studies
- Gastric Cancer Management and Outcomes
First Affiliated Hospital of Xinxiang Medical University
2024
Second Affiliated Hospital of Harbin Medical University
2024
Harbin Medical University
2024
The objective of this study was to create and authenticate a prognostic model for lymph node metastasis (LNM) in colorectal cancer (CRC) that integrates clinical, radiomics, deep transfer learning features.
Lymphovascular invasion (LVI) is a significant risk factor for lymph node metastasis in gastric cancer (GC) and closely related to the prognosis recurrence of GC. This study aimed establish clinical models, radiomics models combination diagnosis GC vascular invasion.