Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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The Role of Machine Learning in Thyroid Cancer Diagnosis

Authors
Monika D. Kate1, *, Vijay Kale1
1Dr. G. Y. Pathrikar College of Computer Science and Information Technology, MGM University, Aurangabad, Maharashtra, India
*Corresponding author. Email: monu.kate10@gmail.com
Corresponding Author
Monika D. Kate
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_25How to use a DOI?
Keywords
Machine learning (ML); SVM; Segmentation
Abstract

Thyroid cancer occurs in the thyroid gland cells. This is butterfly shaped gland which is situated at lower part of neck. Thyroid cancer might not cause any symptoms initially. But as the cancer grows, it causes pain and swelling in neck. To detect and classify abnormalities of the thyroid gland Ultrasound imaging is mostly used. Computer aided diagnosis (CAD) help healthcare sector to increase the diagnosis accuracy and to reduce biopsy ratio. Machine learning techniques play a vital role in diagnosing diseases from the medical database. Various diseases can be predicted early using machine learning techniques. In this study, many previous research works are reviewed which use machine learning techniques to predict thyroid cancer. Machine learning classification techniques like Decision tree Classification, Random Forest Classification, Naïve Bayes, Kernel SVM, K-Nearest Neighbours, Support vector Machines (SVM), Logistic regression etc. are reviewed from the research papers. A short description about machine learning and segmentation is also presented.

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 International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
10.2991/978-94-6463-136-4_25
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_25How 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  - Monika D. Kate
AU  - Vijay Kale
PY  - 2023
DA  - 2023/05/01
TI  - The Role of Machine Learning in Thyroid Cancer Diagnosis
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 276
EP  - 287
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_25
DO  - 10.2991/978-94-6463-136-4_25
ID  - Kate2023
ER  -