Spleen segmentation on CT using convolutional neural network
Citation
Tulum, G., Osman, O., Yilmaz, V. T., Ergin, T., Cüce, F., Dandin, Ö., ... & Aydinli, B. (2019, October). Spleen Segmentation on CT Using Convolutional Neural Network. In 2019 Medical Technologies Congress (TIPTEKNO) (pp. 1-4). IEEE.Abstract
The automated segmentation systems have been evolving from experimental to clinical applications in radiology. By taking advantage of these, radiologists can increase diagnostic accuracy in their interpretations. In this work we proposed a convolutional neural network based spleen segmentation system. Automatically segmented spleen had an 76.7% sensitivity, 99.8% specificity, 94.7% positive prediction value, 99.9% negative prediction value and 99.8% accuracy. © 2019 IEEE.
