MACHINE LEARNING BASED MICROSTRIP PATCH ANTENNA DESIGN FOR LUNG CANCER DETECTION

Research shows that cancer is an extremely serious disease. There are many different types of this disease and different treatment methods are applied to these types. The data obtained from these methods evaluate the effects of cancer treatments from many aspects. The results emerging from these data emphasize that early diagnosis is very important. Early diagnosis is a crucial step in preventing cancer, and many methods are being studied to implement early diagnosis. One of these methods is the use of portable antenna technologies. With the development of wireless communication technologies, the use of wireless devices is rapidly becoming widespread. Wireless communication devices are preferred in different areas for many different purposes. These devices are widely used in areas such as daily communications, military technologies, and the healthcare industry. They are becoming important tools to track patient medical information, especially in the healthcare industry. Microstrip patch antennas are frequently preferred in studies conducted for the healthcare sector. These antennas are preferred because they are small in dimensions, have low and easy production costs, and provide effective results.