Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

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Chatbot Combined with Deep Convolutional Neural Network for Skin Cancer Detection

Authors
Qianfei Hu1, *, Haochong Xia2, Tianrui Zhang3
1College of Letters and Science, University of California - Berkeley, Berkeley, California, USA
2College of Liberal Arts and Sciences, University of Illinois Urbana - Champaign, Urbana, Illinois, USA
3Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China
*Corresponding author. Email: qianfei_hu@berkeley.edu
Corresponding Author
Qianfei Hu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_7How to use a DOI?
Keywords
Convolutional Neural Network; Chatbot; Skin Cancer Detection; NLP
Abstract

For the sake of raising people's serious awareness of skin cancer and providing a convenient way to diagnose skin cancer, this study designs an application to help users figure out the true situation of their skin. In this field, many current studies still cannot achieve high accuracy for skin cancer detection. To increase the accuracy of the previous models from others, firstly, this study trains the proposed model by numbers converted by RGB using a 10k jpg file. Then, the deep convolutional neural network was applied with three units: a 2D convolutional unit to convolute the kernel with all the data in its receptive field, a pooling unit to decrease the dimension of the input, and a dense unit to generalize traits from the data. In addition, since it is noticed that the application that gives feedback on the diagnosis is missing, this paper set up a chatbot based on natural language processing and decides what functions shall the proposed bot provide. The developed application can diagnose seven kinds of skin symptoms related to skin cancer and give out some basic information and advice based on the result. Finally, the results indicated that the model achieves higher accuracy and makes the interaction with the user becomes true.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-040-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_7How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Qianfei Hu
AU  - Haochong Xia
AU  - Tianrui Zhang
PY  - 2022
DA  - 2022/12/27
TI  - Chatbot Combined with Deep Convolutional Neural Network for Skin Cancer Detection
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 35
EP  - 41
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_7
DO  - 10.2991/978-94-6463-040-4_7
ID  - Hu2022
ER  -