Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework-Reference-Cited by-同舟云学术

Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework

Published:2023 Issue: Volume:11 Page:99807-99821
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Youssef Bassant E.¹,Alksas Ahmed¹,Shalaby Ahmed²,Mahmoud Ali H.¹^ORCID,Van Bogaert Eric³,Alghamdi Norah Saleh⁴^ORCID,Neubacher Alyssa¹^ORCID,Contractor Sohail³,Ghazal Mohammed⁵^ORCID,Elmaghraby Adel S.⁶,El-Baz Ayman¹^ORCID

Affiliation:

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

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

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

4. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

5. Electrical, Computer, Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi, United Arab Emirates

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

Funder

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Abu Dhabi University’s Office of Research and Sponsored Programs

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10244021.pdf?arnumber=10244021

Reference40 articles.

1. Interpretable Multi-Modal Image Registration Network Based on Disentangled Convolutional Sparse Coding

2. OP-convNet: A Patch Classification-Based Framework for CT Vertebrae Segmentation

3. Lung Nodule Segmentation with a Region-Based Fast Marching Method

4. Focal Loss for Dense Object Detection

5. An effective WSSENET-based similarity retrieval method of large lung CT image databases;zhuang;KSII Trans Internet Inf Syst,2022

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