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A review of lung cancer diagnosis methods using Electronic Nose

عنوان مقاله: A review of lung cancer diagnosis methods using Electronic Nose
شناسه ملی مقاله: IMEAECONF01_018
منتشر شده در اولین کنفرانس بین المللی مکانیک ،برق، مهندسی هوافضا و علوم مهندسی در سال 1400
مشخصات نویسندگان مقاله:

Pooria Rabiei - Biomedical Eng student, Semnan Branch, Islamic Azad University, Semnan, Iran

خلاصه مقاله:
Lung cancer is the most common malignancies and has a low ۵ years survival rate. Lung cancer is very common and the most common cause of cancer death worldwide. Despite recent progress in the systemic treatment of lung cancer (checkpoint inhibitors and tyrosine kinase inhibitors), each year, >۱.۵ million people die due to this disease. Certainly, early detection of lung cancer can prevent many complications and even death from this disease. The analysis of exhaled breath is drawing a high degree of interest in the diagnostics of various diseases, including lung cancer. . Electronic nose is one of the relatively new topics that has been considered in the diagnosis of cancer. In this article, we tried to review many article (Detection of lung cancer with electronic nose and logistic regression analysis, Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis, Least Squares Neural Network-Based Wireless E-Nose System Using an SnO۲ Sensor Array, Development of a Breath Detection Method Based E-nose System for Lung Cancer Identification) to introduce the best way to diagnose lung cancer using electronic nose.

کلمات کلیدی:
lung cancer detection, e-nose for lung cancer, cancer detection

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1359247/