A Novel Technique of Pulmonary Nodules Auto Segmentation Using Modified Convolutional Neural Networks-Reference-Cited by-同舟云学术

A Novel Technique of Pulmonary Nodules Auto Segmentation Using Modified Convolutional Neural Networks

Published:2023-04-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
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Author:

Youssef B.¹,Alksas A.¹,Shalaby A.²,Mahmoud A.¹,van Bogaert E.³,Contractor S.³,Ghazal M.⁴,Elmaghraby A.⁵,El-Baz A.¹

Affiliation:

1. University of Louisville,Department of Bioengineering,KY,USA

2. UT Southwestern Medical Center,Lyda Hill Department of Bioinformatics,Dallas,TX,USA

3. University of Louisville,Department of Radiology,KY,USA

4. Abu Dhabi University,Electrical, Computer, and Biomedical Engineering Department,UAE

5. University of Louisville,Computer Science and Engineering Department,KY,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230705.pdf?arnumber=10230705

Reference17 articles.

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4. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

5. Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound

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