Friday 26th of April 2024
 

An Explorative Survey of Image Enhancement Techniques Used in Mammography


Aderonke A. Kayode, Babajide S. Afolabi and Bolanle O. Ibitoye

Breast cancer is the most common disease in women and it remains a leading cause of cancer deaths among women in many parts of the world. Mammography has become indispensable for early detection of breast cancer. However, interpretation of the resulting images requires sophisticated image enhancement algorithms that enhance visual interpretation and aid the radiologists in the interpretation task. MATLAB software presents several enhancement algorithms which can be used for mammogram enhancement. In this survey, several enhancement techniques for mammographic images are considered.

Keywords: Breast cancer, Mammography, Radiologists, Enhancement and Interpretation.

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ABOUT THE AUTHORS

Aderonke A. Kayode
Aderonke A. Kayode received both B. Sc. and M. Sc. in Computer Science. She is a member of Computer Professional Registration Council of Nigeria (MCPN). She is a Lecturer in the Department of Computer Science, Osun State College of Technology, Esa-Oke, Nigeria. She is currently pursuing her Ph. D in Computer Science. Her research areas include Information storage and retrieval, Health Informatics and Artificial Intelligence

Babajide S. Afolabi
Babajide S. Afolabi is an associate professor in the Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria and head of the Information Storage and Retrieval Group. His research areas include Information Storage and Retrieval, Software Engineering and Database systems.

Bolanle O. Ibitoye
Bolanle O. Ibitoye is a Senior Lecturer in the Department of Radiology, Obafemi Awolowo University, Ile-Ife. Nigeria. She is a Consultant Radiologist in Obafemi Awolowo University Teaching Hospital Complex, Ile- Ife, Nigeria. She authored many articles both within and outside Nigeria.


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