In medical image processing, segmentation plays an important role in the identification of breast tumors and has recently been performed with AI. But the same result can be achieved using different image processing tools in combined and successively. This proposed work advances an image processing based automated identification of breast tumors from MRI images. In the proposed method otsu's thresholding segmentation is used with different image processing steps to identify the desired regions of interests' from the MRI images. Results obtained in this research study prove that the accuracy rate has been increased compared to other existing approaches and human intervention is not necessary which means no calibration of processing parameters is essential.
Software And Hardware
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL