Noninvasive prediction of renal fibrous capsule invasion in RCC is rather difficult by abdominal CT images before surgery. A machine learning classifier integrated with radiomics features shows a promising potential to assist surgical treatment options for RCC patients.
Keyphrases
- contrast enhanced
- machine learning
- end stage renal disease
- computed tomography
- image quality
- dual energy
- cell migration
- ejection fraction
- minimally invasive
- newly diagnosed
- lymph node metastasis
- chronic kidney disease
- magnetic resonance imaging
- deep learning
- prognostic factors
- peritoneal dialysis
- patients undergoing
- magnetic resonance
- squamous cell carcinoma
- optical coherence tomography
- artificial intelligence
- convolutional neural network
- coronary artery disease
- patient reported outcomes
- pet ct