Tumor Segmentation in Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma: Deep Learning with Convolutional Neural Network

<div>NPC tumor segmentation with high accuracy using the current deep learning method with convolutional neural network. (a) The original image. (b) Ground truth (white line). (c) Segmentation from our deep learning method result (white line) with the dice similarity coefficient = 0.941, corresponding ratio = 0.915, and percent match = 0.950.</div>

BioMed Research International

fig2

Figure 2

Figure 2: Tumor Segmentation in Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma: Deep Learning with Convolutional Neural Network 

Figure 2 | Tumor Segmentation in Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma: Deep Learning with Convolutional Neural Network 