Zhiyang Li, Xinqi Yang, Wenzhuo Liu, Junsheng Gao
Tianjin University of Science and Technology, 300222, China
pp. 63–66
ABSTRACT
Breast cancer, which is one of the most common types of cancer among women worldwide, is responsible for claiming numerous lives annually, resulting in almost 600,000 fatalities. The key to achieving successful treatment lies in the early identification of the disease. The continuous progress in artificial intelligence has revolutionized the potential for accurately diagnosing and treating breast cancer. This research centers on the practical implementation of convolutional neural networks, a form of artificial intelligence, in recognizing breast cancer. The outcomes indicate that this particular method substantially improves the speed of detection, allowing medical professionals to render more precise judgments in a considerably reduced timeframe.

ARTICLE INFO
Article History
Received 15 November 2022
Accepted 14 September 2023

Keywords
Breast cancer
Artificial intelligence
Computer vision

JAALR4201

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