Breast Cancer Detection Using Image Processing and Magnetic Resonance Imaging Files Transfer

Abstract

Breast cancer is presently the most prevalent form of cancer among women all over the world. This raises a major concern as the current detection techniques being used around the world are manual observations. This method has many limitations as there can be errors or lots of variation of opinions. Inspecting a patient’s tumour response to Neoadjuvant Chemotherapy on multiparametric MRI visually, is insufficient. Patients who have cancerous tumours which are locally advanced and are undergoing neoadjuvant chemotherapy (NAC), can possibly achieve a complete pathologic response (pCR), in some cases a partial response is possible, or it could also be no response at all. If the response to the treatment can be accurately detected, it will be extremely helpful in deciding the further course of treatment, enabling the de-escalation of harmful treatment that has very less or no benefit, which in turn facilitates early use of other novel targeted therapies, and avoiding any potential delays to surgery. The proposed mobile application software will be using image processing techniques to accurately identify the exact stage of the infection. Doctors can perform an array of complex feature extractions using the software. It will also be able to transfer the Magnetic Resonance Imaging (MRI) or X-ray scans efficiently by storing it in the cloud. This will make it very easy to consult doctors across the globe for timely quality treatment.