Medical image analysis has significance in the diagnosis and prognosis of disorders in everyday life. Computer-aided tools are utilized in a wide range of medical sectors and technologies to give high-quality diagnostics, including cancer, breast, brain, abdomen, stomach, liver, lung, heart, colon, pancreas, and cell tissue. To detect CAD, cancer is classed as benign, malignant, or normal for both invasive and ductal carcinomas. One of the major problems connected with breast cancer is the second most lethal condition, accounting for eight deaths in one out. The benchmark dataset MIAS was used to detect and identify tumours. Because the most difficult aspect of identifying malignant and non-cancerous signs is determining whether they are true positives or true negatives. A graphical user interface (GUI) application was created to submit imagery and analyse median filtering and edge detection techniques for tumour diagnosis.