Publication Type : Book Chapter
Publisher : Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.
Source : Future Trends in Internet of Things, Internet of Everything and its Applications
Url : https://doi.org/10.58532/nbennurfticsw2
Campus : Chennai
School : School of Computing
Department : Computer Science and Engineering
Year : 2025
Abstract : The awareness of fatal diseases like cancer among human beings is well spread owed to improved technology and sophisticated education. Globally the mortality rate due to cancer is suppressed by 2.5% each year because of advanced treatment and early diagnosis. Among cancer varieties, most dangerous type is the breast cancer next to skin cancer targeting female population of majority risk. Based on age and gender breast cancer may occur without any symptoms for diagnosing the syndrome in early stage. To accelerate the detecting purpose image processing methods along with algorithms and statistical data are implemented for initialanalysis of breast cancer. More standard techniques in detecting cancer are available like Digital mammogram, MRI and the recent emerging one is Thermography providing more positive results. The proposed method uses thermal images for detecting breast cancer using innovative segmentation procedures and comparing the performance of the suggested methods.
Cite this Research Publication : P Kanimozhi, M Rajamanogaran, S Sathiya, ASSESSMENT OF VARIOUS SEGMENTATION APPROACHES TO POSTER BREAST CANCER USING THERMAL IMAGES, Future Trends in Internet of Things, Internet of Everything and its Applications, Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd., 2025, https://doi.org/10.58532/nbennurfticsw2