3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities-Reference-Cited by-同舟云学术

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3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities

Published:2021-06 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)
language:
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Author:

Villarini Barbara,Asaturyan Hykoush,Kurugol Sila,Afacan Onur,Bell Jimmy D.,Thomas E. Louise

Funder

Royal Academy of Engineering

Leverhulme Trust

Crohn's and Colitis Foundation of America's (CCFA)

National Institutes of Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9474585/9474649/09474698.pdf?arnumber=9474698

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3. Level-Set-Based Kidney Segmentation from DCE-MRI Using Fuzzy Clustering with Population-Based and Subject-Specific Shape Statistics;Bioengineering;2022-11-05

4. AI Driven IoT Web-Based Application for Automatic Segmentation and Reconstruction of Abdominal Organs from Medical Images;2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS);2022-05

5. Semantic segmentation of pancreatic medical images by using convolutional neural network;Biomedical Signal Processing and Control;2022-03

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