Dense Convolutional Network and Its Application in Medical Image Analysis
Open accessAbstract
Dense convolutional network (DenseNet) is a hot topic in deep learning research in recent years, which has good applications in medical image analysis. In this paper, DenseNet is summarized from the following aspects. First, the basic principle of DenseNet is introduced; second, the development of DenseNet is summarized and analyzed from five aspects: broaden DenseNet structure, lightweight DenseNet structure, dense unit, dense connection mode, and attention mechanism; finally, the application research of DenseNet in the field of medical image analysis is summarized from three aspects: pattern recognition, image segmentation, and object detection. The network structures of DenseNet are systematically summarized in this paper, which has certain positive significance for the research and development of DenseNet.
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DenseNet uses densely connected layers to improve feature reuse and efficiency.
“DenseNet: Densely connected layers to improve feature reuse and efficiency [61].”
From Artificial Intelligence in Dermatopathology: An Update and Review of the Current Literature (2026) · cites this paper as [61]
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References 110 · Cited by 201
Research works printed but not linked: 1
- [1]Krizhevsky I. S. Hinton G. E. ImageNet classification with deep convolutional neural networks Proceeding of Neural Information Processing Systems 2012 Lake Tahoe, USA Curran Associates 1097 1105
- Authors
- Zhou, T., Ye, X., Lu, H., Zheng, X., Qiu, S., & Liu, Y.
- Affiliations
- State Ethnic Affairs Commission (CN)
- Ningxia Medical University (CN)
- Chinese Academy of Sciences (CN)
- Corresponding author
- Ye, XinYu
- Lu, HuiLing
- Venue
- BioMed Research International
- Publisher
- Wiley
- Published
- 2022-01
- Volume
- 2022
- Issue
- 1
- Pages
- 2384830-2384830
- ISSN
- 1110-7243 (ISSN-L)
- 2314-6133
- 2314-6141
- PMC
- PMC9060995
- OpenAlex
- W4224690709
- Cited by
- 201
- References
- 110
- Citations by year
- 2026: 30 · 2025: 76 · 2024: 52 · 2023: 32 · 2022: 11
- FWCI
- 3.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- BioMed Research International (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics) (submittedVersion, cc-by-nc-sa)
- Funders
- North Minzu University (2020KYQD08)
- Natural Science Foundation of Ningxia Province (2022AAC03149)
- National Natural Science Foundation of China (62062003)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Keywords
- DenseNet, dense convolutional network, medical image analysis, dense connections, attention mechanism, image segmentation, object detection, pattern recognition
- MeSH terms
- Image Processing, Computer-Assisted, Neural Networks, Computer
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