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A Review in Deep Learning-Based Thyroid Cancer Detection Techniques Using Ultrasound Images

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Intelligence of Things: Technologies and Applications (ICIT 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 187))

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Abstract

Early detection of thyroid cancer nodules will lead to the most specific and effective treatments, significantly reducing morbidity and mortality. The application of ultrasound imaging according to the traditional method has been widely used in the early detection of thyroid nodules. However, applying traditional methods is time-consuming, costly, and even ineffective because of the direct intervention of machines in the human body. Therefore, the development and application of deep learning methods in the diagnostic process are of great significance. Deep learning methods have improved the quality of the diagnostic process most objectively. This review evaluated many aspects of deep learning methods, including CNNs, GANs, and ThyNet. The results show that the preferred method has 94% accuracy, 93% sensitivity, and up to 95% specificity. It is the CascadeMaskR-CNN method. In addition, the methods mentioned have relatively good metrics and high learning properties.

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Author information

Authors and Affiliations

  1. FPT University, Danang, Vietnam

    Le Chieu Long, Y. Bui Hoang, Nguyen Luong Trung & Bui Tuan Dung

  2. Department of Artificial Intelligence, FPT University, Danang, Vietnam

    Thi-Thao Ha & Luong Vuong Nguyen

Authors
  1. Le Chieu Long
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  2. Y. Bui Hoang
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  3. Nguyen Luong Trung
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  4. Bui Tuan Dung
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  5. Thi-Thao Ha
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  6. Luong Vuong Nguyen
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Corresponding author

Correspondence to Luong Vuong Nguyen .

Editor information

Editors and Affiliations

  1. Sejong University, Seoul, Korea (Republic of)

    Nhu-Ngoc Dao

  2. Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh, Vietnam

    Tran Ngoc Thinh

  3. Wroclaw University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

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Long, L.C., Bui Hoang, Y., Trung, N.L., Dung, B.T., Ha, TT., Nguyen, L.V. (2023). A Review in Deep Learning-Based Thyroid Cancer Detection Techniques Using Ultrasound Images. In: Dao, NN., Thinh, T.N., Nguyen, N.T. (eds) Intelligence of Things: Technologies and Applications. ICIT 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 187. Springer, Cham. https://doi.org/10.1007/978-3-031-46573-4_2

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