High-Resolution Tactile-Sensation Diagnostic Imaging System for Thyroid Cancer

Author:

Cho So-Hyun1,Lee Su-Min1,Lee Na-Young1,Ko Byoung Chul2ORCID,Kim Hojeong1,Jang Dae-Jin3,Lee Jong-Ha1ORCID

Affiliation:

1. Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu 1095, Republic of Korea

2. Department of Computer Engineering, Keimyung University, Daegu 1095, Republic of Korea

3. Industry-Academic Cooperation Foundation, Keimyung University, Daegu 1095, Republic of Korea

Abstract

In this study, we propose the direct diagnosis of thyroid cancer using a small probe. The probe can easily check the abnormalities of existing thyroid tissue without relying on experts, which reduces the cost of examining thyroid tissue and enables the initial self-examination of thyroid cancer with high accuracy. A multi-layer silicon-structured probe module is used to photograph light scattered by elastic changes in thyroid tissue under pressure to obtain a tactile image of the thyroid gland. In the thyroid tissue under pressure, light scatters to the outside depending on the presence of malignant and positive properties. A simple and easy-to-use tactile-sensation imaging system is developed by documenting the characteristics of the organization of tissues by using non-invasive technology for analyzing tactile images and judging the properties of abnormal tissues.

Funder

Ministry of Health and Welfare, Republic of Korea

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advancing cancer diagnostics through multifaceted optical biosensors supported by nanomaterials and artificial intelligence: A panoramic outlook;Microchemical Journal;2024-10

2. Applying Time Series Analysis Techniques to Detect Early Signs of Thyroid Cancer;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

3. Transparent Pneumatic Tactile Sensors for Soft Biomedical Robotics;Sensors;2023-06-17

4. An Emerging Era of Artificial Intelligence Research in Agriculture;Journal of Robotics Spectrum;2023-02-18

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