GUI based smart breast cancer identification system for mammographic images through 2nd level secured combined Crypto-watermarking

Current paper presents a new type of GUI based secure breast cancer identification system through a combination of Cryptography and Biomedical Image Watermarking. Through this scheme 2^nd level of security can be applied for the embedded data in mammographic images. Several information related to patients (EPR), infected region (ROI), doctor's name and diagnosis from symptoms are encrypted in the 1^st level using RSA encryption and then embedded in the mammographic image itself in the 2^nd level using Bit Plane Slicing watermarking technique. The infected region is identified through region growing and contour detection algorithm which needs to be perfect for accurate ROI identification resulting a better treatment. Values of several image quality metrics show that the proposed GUI based breast cancer diagnostic system is good enough for successful recovery of all the embedded information exactly similar. The simplicity and easiness of the complete GUI also makes the entire system user friendly even to the non-medical technical person.