Image decomposition-based sparse extreme pixel-level feature detection model with application to medical images-Reference-Cited by-同舟云学术

Image decomposition-based sparse extreme pixel-level feature detection model with application to medical images

Published:2021-05-28 Issue: Volume: Page:1-17
ISSN:2472-5579
Container-title:IISE Transactions on Healthcare Systems Engineering
language:en
Short-container-title:IISE Transactions on Healthcare Systems Engineering

Author:

Lahoti Geet¹^ORCID,Chen Jialei¹^ORCID,Yue Xiaowei²^ORCID,Yan Hao³^ORCID,Ranjan Chitta⁴^ORCID,Qian Zhen⁵^ORCID,Zhang Chuck¹^ORCID,Wang Ben⁶^ORCID

Affiliation:

1. H. Milton Stewart School of Industrial & Systems Engineering, and Georgia Tech Manufacturing Institute, Georgia Institute of Technology, Atlanta, GA, USA

2. Grado Department of Industrial & Systems Engineering, Virginia Tech, Virginia, USA

3. School of Computing, Informatics, & Decision Systems Engineering, Arizona State University, AZ, USA

4. ProcessMiner, Atlanta, GA, USA

5. Medical AI Lab, Tencent America, Palo Alto, CA, USA

6. Georgia Tech Manufacturing Institute, H. Milton Stewart School of Industrial & Systems Engineering, and the School of Materials Science & Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725579.2021.1910599

Reference41 articles.

1. Seeded region growing

2. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

3. Augmented Active Surface Model for the Recovery of Small Structures in CT

4. An efficient statistical approach to design 3D-printed metamaterials for mimicking mechanical properties of soft biological tissues

5. Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition

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