Online breast cancer diagnosis system

Abstract

Breast cancer is the most common cancer among women, and is the second leading cause of death after lung cancer. The ability to accurately identify the malignancy in early stage is the key for better prognosis and preparation of effective treatment. In the developing world, even though at times imaging machines are available in the rural areas but due to the absence of the relevant medical expertise early detection of cancer remains only a pipe dream. Along with the imaging machines, internet has made inroads into rural surroundings. That makes the availability of online automatic systems that can identify the presence or absence of malignancy, without human involvement, an important aspect of healthcare systems in the underdeveloped rural surroundings. This paper presents an online tumor detection application, that uses mammogram images. The mammogram images taken at a local facility are transferred over the internet to a remote server that hosts the application that can classify tumour. It was trained on 322 mammographic images, from the mini-MIAS database.We have achieved sensitivity of 90.15 %.