PROper-Net: A Deep-Learning Approach for Prostate’s Peripheral Zone Segmentation based on MR imaging-Reference-Cited by-同舟云学术

PROper-Net: A Deep-Learning Approach for Prostate’s Peripheral Zone Segmentation based on MR imaging

Published:2022-06-14 Issue: Volume: Page:
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Container-title:2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)
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Author:

Mylona Eugenia¹,Zaridis Dimitris¹,Tachos Nikolaos¹,Marias Kostas²,Tsiknakis Manolis³,Fotiadis Dimitrios I.⁴

Affiliation:

1. Biomedical Research Institute FORTH,Ioannina,Greece

2. Institute of Computer Science FORTH,Heraklion,Greece

3. Hellenic Mediterranean University,Department of Electrical and Computer Engineering,Heraklion,Greece

4. Unit of Medical Technology and Intelligent Information Systems University of Ioannina,Biomedical Research Institute FORTH,Ioannina,Greece

Publisher

IEEE

Link

Reference31 articles.

2. CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study;rundo;ArXiv,2019

4. The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions;hochreiter;International Journal of Uncertainty Fuzziness and Knowledge-Based Systems,1998

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