Enhancement and diagnosis of breast cancer in mammography images using histogram equalization and genetic algorithm

• Published in: Multidimensional systems and signal processing Vol. 34; no. 3; pp. 681 - 702
• Main Authors: Samraj, Dhivya, Ramasamy, Kuppuchamy, Krishnasamy, Balasubramanian
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2023; Springer Nature B.V
• Subjects: Artificial Intelligence; Breast cancer; Circuits and Systems; Data mining; Electrical Engineering; Engineering; Equalization; Genetic algorithms; Histograms; Image contrast; Image enhancement; Image quality; Inspection; Mammography; Medical imaging; Optimization; Signal to noise ratio; Signal,Image and Speech Processing; Visual aspects; Breast cancer; Genetic algorithm; Mammograms; Image enhancement; Histogram equalization

In breast cancer imaging, a poor quality nature image, especially one with low contrast, may provide insufficient data for visual interpretation of cancerous regions. Breast cancer survival rates are increasing as detection and analytical methods improve. On the other hand, breast cancer remains the...