Fig. 2
From: Automatic segmentation of head and neck primary tumors on MRI using a multi-view CNN
Segmentation results with the three MRI sequences, in red the manual segmentation and in green the network segmentation of the MV-CNN on T1-weighted images. The whole image DSC scores are given per example. On top a good (A) and reasonable (B) result is shown in an oral cavity (tongue) and floor of the mouth tumor, respectively. False positives in the predicted segmentation were found often. In (C) the oropharyngeal (tonsillar fossa) tumor was located on the right side, with false positive classifications on the contralateral side in healthy tissue. In (D) a large oropharyngeal cancer (base of tongue) was adequately segmented, however the network also had false positive segmentations in the bilateral lymphadenopathy (yellow arrows)