3D Synthetic View for X-Ray Breast Cancer Mammogram Images.

Showing the mammogram images in different view enables the radiological to recognize more early details about the cancer tumour. The synthetic view was addressed to find the overlapping among the overlapped structural information of the x-ray breast mammography images. The details of the proposed method to produce a synthetic mammography image using the x-ray breast cancer mammogram images from each CranioCaudual (CC) and MedioLateral-Oblique (MLO) view have been introduced in this article. There are five phases to the proposed method. In the first phase, the cancer tumor has been identified in the full-field x-ray mammography images. The cancerous tumor has been secondly recognized and highlighted as a region of interest. A technique to collect data from the cancer tumor and identify the areas of interest on the cancer mass has been discussed in the third phase. In the fourth phase, formatting the points of interest within the context of advanced features has been implemented. The final phase demonstrates how to execute the synthetic digital process using the supervised learning methodology. Several contributions have been presented based on the proposed method, which are facilitate the computer aided detection application in context of the digital breast Tomosynthesis. Compared with other method, the proposed method has shown its ability to save memory and running time resources. Beside of the digital synthetic view, the proposed method was detected the breast tumour in x-ray breast mammography images. [ABSTRACT FROM AUTHOR]