Breast lesions detection using FADHECAL and Multilevel Otsu Thresholding Segmentation in digital mammograms

• Main Authors: Kamarul Amin, Abdullah@Abu Bakar, Saifullah Harith, Suradi, Nor Ashidi, Mat Isa
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: 2021
• Subjects: R Medicine (General); RC0254 Neoplasms. Tumors. Oncology (including Cancer)
• Online Access: http://eprints.unisza.edu.my/4591/1/FH03-FSK-21-55109.pdf; http://eprints.unisza.edu.my/4591/2/FH03-FSK-21-52802.png; http://eprints.unisza.edu.my/4591/3/FH03-FSK-21-55109.pdf; http://eprints.unisza.edu.my/4591/

Breast cancer is the most common cause of mortality among women. Early detection plays an important role to improve survival rates. Digital mammograms can be used to detect breast lesions within the breast tissue. However, digital mammograms have a limitation of low contrast images due to the low...