Evaluation of deep neural networks for semantic segmentation of prostate in T2W MRI

• Main Authors: Khan, Z., Yahya, N., Alsaih, K., Ali, S.S.A., Meriaudeau, F.
• Format: Article
• Published: MDPI AG 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086051089&doi=10.3390%2fs20113183&partnerID=40&md5=89383ffa3803850a17bc7be41ed31ed9; http://eprints.utp.edu.my/23236/

In this paper, we present an evaluation of four encoder�decoder CNNs in the segmentation of the prostate gland in T2W magnetic resonance imaging (MRI) image. The four selected CNNs are FCN, SegNet, U-Net, and DeepLabV3+, which was originally proposed for the segmentation of road scene, biomedical,...