Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation-Reference-Cited by-同舟云学术

Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation

Published:2023-12-04 Issue: Volume: Page:422-426
ISSN:
Container-title:2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE)
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Author:

Zaridis Dimitrios I.¹,Mylona Eugenia²,Tachos Nikolaos S.²,Kalantzopoulos Charalampos²,Marias Kostas³,Tsiknakis Manolis³,Koutsouris Dimitrios D.⁴,Matsopoulos George K.⁴,Fotiadis Dimitrios I.⁵

Affiliation:

1. School of Electrical & Computer Engineering and Biomedical Research Institute, National Technical University of Athens and FORTH,Biomedical Engineering Laboratory,Athens & Ioannina,Greece

2. Biomedical Research Institute FORTH,Ioannina,Greece

3. Computational Biomedicine Laboratory FORTH,Heraklion,Greece

4. School of Electrical & Computer Engineering, National Technical University of Athens,Biomedical Engineering Laboratory,Athens,Greece

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

Funder

European Regional Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10431814/10431802/10431884.pdf?arnumber=10431884

Reference13 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. Artificial intelligence in medicine: Overcoming or recapitulating structural challenges to improving patient care?

3. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

4. U-Net: Convolutional Networks for Biomedical Image Segmentation

5. Prostate Segmentation using 2D Bridged U-net