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
- ejection fraction
- image quality
- newly diagnosed
- cell migration
- minimally invasive
- dual energy
- renal cell carcinoma
- chronic kidney disease
- lymph node metastasis
- deep learning
- magnetic resonance imaging
- prognostic factors
- peritoneal dialysis
- patients undergoing
- coronary artery bypass
- optical coherence tomography
- patient reported outcomes
- convolutional neural network
- coronary artery disease
- atrial fibrillation