A review of lung cancer diagnosis methods using Electronic Nose
Publish place: First International Conference on Mechanics, Electrical, Aerospace Engineering and Engineering Sciences
Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IMEAECONF01_018
تاریخ نمایه سازی: 5 دی 1400
Abstract:
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.
Keywords:
Authors
Pooria Rabiei
Biomedical Eng student, Semnan Branch, Islamic Azad University, Semnan, Iran