Early Breast Cancer Detection based on High-Boost Filtration, Data Fusion and Modified Object Detection-Reference-Cited by-同舟云学术

Early Breast Cancer Detection based on High-Boost Filtration, Data Fusion and Modified Object Detection

Published:2023-03-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence
language:
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Author:

Jie Lidi¹^ORCID,Hu Chengsong²^ORCID,Peng Min³^ORCID,Yang Zufang³^ORCID,Luo Yanling¹^ORCID

Affiliation:

1. Department of Artificial Intelligence, College of Artificial Intelligence, Wuhan Technology and Business University, China

2. Department of Internet of Things, College of Artificial Intelligence, Wuhan Technology and Business University, China

3. Department of Electronics Engineering, College of Artificial Intelligence, Wuhan Technology and Business University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594409.3594416

Reference34 articles.

1. World Health Organization . Breast cancer, https://www.who.int/news-room/fact-sheets/detail/breast-cancer. Accessed 28 January 2022 World Health Organization. Breast cancer, https://www.who.int/news-room/fact-sheets/detail/breast-cancer. Accessed 28 January 2022

2. DeSantis C.: Breast cancer facts and figures. http://www.cancer.org/acs/groups/content/@research/documents/document/acspc-042725.pdf . Accessed 17 September 2022 DeSantis C.: Breast cancer facts and figures. http://www.cancer.org/acs/groups/content/@research/documents/document/acspc-042725.pdf . Accessed 17 September 2022

3. Mammographic Image Enhancement Based on SWT and High Boost Filtering

4. Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain

5. A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals

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