SN-FPN: Self-Attention Nested Feature Pyramid Network for Digital Pathology Image Segmentation-Reference-Cited by-同舟云学术

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SN-FPN: Self-Attention Nested Feature Pyramid Network for Digital Pathology Image Segmentation

Published:2024 Issue: Volume:12 Page:92764-92773
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lee Sanghoon¹^ORCID,Aminul Islam Kazi¹^ORCID,Chandana Koganti Sai¹^ORCID,Yaganti Varshini¹^ORCID,Ramya Sri Mamillapalli Sai¹,Vitalos Hannah²^ORCID,Williamson Drew F. K.³

Affiliation:

1. Department of Computer Science, Kennesaw State University, Marietta, GA, USA

2. Department of Computer Science, Marshall University, Huntington, WV, USA

3. Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/6287639/10380310/10584528-aam.pdf

Reference51 articles.

1. Review of the current state of whole slide imaging in pathology

2. Pathology imaging informatics for quantitative analysis of whole-slide images

3. The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research

4. Digital pathology and artificial intelligence

5. Whole slide imaging in pathology: advantages, limitations, and emerging perspectives

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