Breast cancer detection chat robot based on convolutional neural network and term frequency–inverse document frequency

Wenlong Hua; Runyu Liu; Hanlue Zhang

doi:10.1117/12.2634682

25 April 2022 Breast cancer detection chat robot based on convolutional neural network and term frequency–inverse document frequency

Wenlong Hua, Runyu Liu, Hanlue Zhang

Author Affiliations +

Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 1224405 (2022) https://doi.org/10.1117/12.2634682
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China

Abstract

A breast cancer chat robot is used to provide medical information to patients and soothe their anxiety. Many researches are focusing on the chatbots' important conversational skills in breast cancer consultation. However, most current breast cancer chatbots ignore breast cancer diagnosis, which is one of the main reasons for patients' anxiety. In this paper, we present a chat robot to perform the breast cancer diagnosis, generate responses to users, and provide them with information related to breast cancer. Our chat robot consists of three parts, breast cancer detection, chatting function, and user interface. In breast cancer detection, we first resize, rotate and normalize the images, and then load and fine-tune the pre-trained Resnet-152 with SGDM. For the chatting function, we normalize the texts and use TF-IDF to find the true answer in the whole list for users. At last, we encapsulate breast cancer detection and chatting functions into the user interface. The experimental results show that the chat robot could detect breast cancer accurately and give true responses to users. Our analyses illustrate that our chat robot can assist in diagnosis and treatment by saving time, sharing more information with patients, and analyzing images of slices.

Citation Download Citation

Wenlong Hua, Runyu Liu, and Hanlue Zhang "Breast cancer detection chat robot based on convolutional neural network and term frequency–inverse document frequency", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 1224405 (25 April 2022); https://doi.org/10.1117/12.2634682

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KEYWORDS

Breast cancer

Cancer

Data modeling

Human-machine interfaces

Diagnostics

Tumor growth modeling

Convolutional neural networks

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