Investigation of mammographic images using multilevel thresholding electro-magnetism-like optimization algorithm (MTEMO) for accurate detection of cancer in early stage

• Published in: Challenges in Information, Communication and Computing Technology Vol. 2; pp. 69 - 74
• Main Authors: Jayapraba, A. Anjaline, Nath, Srigitha S., Poomalai, V., Priyadharshini, K.
• Format: Book Chapter
• Language: English
• Published: CRC Press 2025
• Edition: 1
• Subjects: image processing; Adaptive mean filter; classifier; segmentation; Breast cancer; Algorithm
• ISBN: 9781032901732; 103290173X; 9781032906645; 1032906642
• DOI: 10.1201/9781003559092-12

Early cancer identification lowers the risk factor and lowers the cost of treatment, in addition to helping to lower the risk. The majority of us, however, are only exposed to a small subset of the breast cancer prognostic tools that are currently accessible. People generally avoid having the standard screenings because of the risks associated with radiation exposure and the high cost of these intrusive, painful procedures. In light of this, the impact on the lists of current breast cancer detection tools and their capabilities were provided in this study in an effort to enhance public awareness of the subject and boost people's faith in its effectiveness in the early identification of breast cancer.