Multivariate and multi-dimensional CFAR radar image for breast cancer detection

Breast cancer is one of the most common malignancies among women. In many cases, the mortality rate can be drastically lowered if the disease is detected early. Microwave breast imaging is considered a potential mammography replacement to ensure patient safety. This paper presents three active regions used to represent the damaged region. The protective cells may be contaminated with cancerous and healthy tissues and fibers. A different version of a Multi-Variate and Multi-Dimensional Constant False Alarm Rate (MVMD-CFAR) in Radar Image was developed and evaluated using an open-source experimental database derived from the (UM-BMID). The results demonstrate that it is superior in obtaining a high probability of detection ( P D ) by making some changes. For example, changing the size of the damaged and healthy areas in images by varying the number of pixels and mixing between the pixels that carry the information of damaged tissues and healthy tissues. When the probability of a false alarm is reduced, a higher threshold T is obtained. A more significant number of damaged pixels in the region under test performs better and achieves the highest probability of detection.