CNN-Based Breast Cancer Ultrasound Medical Image Recognition

Jin, Zexiong, Zhang, Qichun and Zhao, Jinhui (2024) CNN-Based Breast Cancer Ultrasound Medical Image Recognition. In: 6th International Conference on Industrial Artificial Intelligence, IAI 2024, 21-24 August 2024, Shenyang, China.

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Abstract

This paper proposes a novel data model for the recognition of medical images in breast cancer ultrasound examinations, based on convolutional neural networks (CNN). To validate the effectiveness of the proposed model, experiments were conducted on 765 data samples, and four evaluation metrics-accuracy, precision, recall, and F1 score-were calculated to analyse the classification performance of the trained model. The results indicate that the new CNN model achieves a minimum recognition accuracy of no less than 70 on the test set, demonstrating robust recognition performance and meeting the designed objectives.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Publisher Copyright: © 2024 IEEE.; 6th International Conference on Industrial Artificial Intelligence, IAI 2024 ; Conference date: 23-08-2024 Through 24-08-2024
Depositing User:	RED Unit Admin
Date Deposited:	28 May 2025 10:03
Last Modified:	28 May 2025 10:03
URI:	https://bnu.repository.guildhe.ac.uk/id/eprint/20265

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