Architectural Distortion-Based Mammograms Classification Using Adaptive Contrast Enhancement and Residual Network-Reference-Cited by-同舟云学术

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Architectural Distortion-Based Mammograms Classification Using Adaptive Contrast Enhancement and Residual Network

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Computer Science and Management Technology (ICCSMT)
language:
Short-container-title:

Author:

Yet Yingchang¹,Liu Yuanyuan²,Gao Perry³,Gao Xiangdong¹

Affiliation:

1. Guangdong University of Technology,Guangdong Provincial Welding Engineering Technology Research Center,Guangzhou,China

2. The Second Affiliated Hospital of Guangzhou University of Chinese Medicine,Radiology Department,Guangzhou,China

3. Education Bridge Institute,Boston,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10143803/10143740/10143858.pdf?arnumber=10143858

Reference21 articles.

1. Interpretation on the global cancer statistics of GLOBOCAN 2020;Cao;Chinese Journal of The Frontiers of Medical Science(Electronic Version),2021

2. Cancer statistics, 2022

3. Cancer statistics in China and United States, 2022: profiles, trends, and determinants

4. Analysis of status and countermeasures of cancer incidence and mortality in China

5. Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges

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