Back close

Super resolution of Images for Breast Cancer from Mammography Images

School: School of Engineering, Coimbatore

Project Incharge:Dr. Rajathilagam B.
Project Incharge:Ms. Geethu Mohan Mrs. Anisha Radhakrishnan
Super resolution of Images for Breast Cancer from Mammography Images

In this work an efficient lifting scheme based on denoising for super resolution reconstruction of low resolution mammogram images is proposed. We have presented a way to improve the quality of x-ray mammography images without having to use more radiations, which increases health risks of patients. The results indicate that the proposed system can facilitate the doctor to detect breast cancer in early stage of diagnosis process. Early detection tests for breast cancer can save many thousands of lives, with super resolution reconstruction the cancer can be diagnosed at an early stage and treated successfully. High resolution images give better visibility of the breast, particularly near the skin line, chest wall and in women with dense breast tissues.

Related Projects

Study on Rural Water Management for Irrigation
Study on Rural Water Management for Irrigation
Development of Methodologies for Detection of Digital Contents Plagiarism
Development of Methodologies for Detection of Digital Contents Plagiarism
Indigenous Development of Functionally-graded Aluminium Metal Matrix Composites using Centrifugal Casting Method and to Investigate the Mechanical and Tribological Properties
Indigenous Development of Functionally-graded Aluminium Metal Matrix Composites using Centrifugal Casting Method and to Investigate the Mechanical and Tribological Properties
Synthesis and Characterization of Functionally Graded Copper Metal Matrix Composites
Synthesis and Characterization of Functionally Graded Copper Metal Matrix Composites
Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Admissions Apply Now