Convolutional neural networks for the differentiation between benign and malignant renal tumors with a multicenter international computed tomography dataset.

Michail E KlontzasGeorgios KalarakisEmmanouil KoltsakisThomas PapathomasApostolos H KarantanasAntonios Tzortzakakis

Published in: Insights into imaging (2024)

• Differentiation between benign and malignant tumors based on CT is extremely challenging. • Inception-ResNetV2 trained on a diverse dataset achieved excellent differentiation between tumor types. • Deep learning can be used to distinguish between benign and malignant renal tumors.

Keyphrases

convolutional neural network
deep learning
computed tomography
dual energy
image quality
contrast enhanced
artificial intelligence
clinical trial
resistance training