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CAD Based Method for Detection of Breast Cancer


Affiliations
1 B.P. Poddar Institute of Management & Technology, Kolkata, West Bengal, 700052, India
2 Jis University, Kolkata, West Bengal-700109, India
 

Breast cancer affecting the women is known to cause high mortality unless detected in right time. Detection requires Mammography followed by biopsy of the tumour or lesions present in the breast tissue. Contemporary Mammographic hardware has incorporated digitization of output images for increasing the scope for implementation of computational methods towards Computer Aided Diagnostics (CAD). CAD systems require Medical Image Processing, a multi-disciplinary science that involves development of computational algorithms on medical images. Histopathological slides are examined for determination of malignancy after biopsy is performed. Digital Images are required to be registered and enhanced prior to application of any deterministic algorithm. This paper provides both effective and efficient improvements over existing algorithms and introduces some innovative ideas based on image segmentation process to develop computer aided diagnosis tools that can help the radiologists in making accurate interpretation of the digital mammograms.

Keywords

Breast Cancer, De-Noising, Diagnosis Image Features, Mammography.
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  • CAD Based Method for Detection of Breast Cancer

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Authors

Indra Kanta Maitra
B.P. Poddar Institute of Management & Technology, Kolkata, West Bengal, 700052, India
Samir Kumar Bandyopadhyay
Jis University, Kolkata, West Bengal-700109, India

Abstract


Breast cancer affecting the women is known to cause high mortality unless detected in right time. Detection requires Mammography followed by biopsy of the tumour or lesions present in the breast tissue. Contemporary Mammographic hardware has incorporated digitization of output images for increasing the scope for implementation of computational methods towards Computer Aided Diagnostics (CAD). CAD systems require Medical Image Processing, a multi-disciplinary science that involves development of computational algorithms on medical images. Histopathological slides are examined for determination of malignancy after biopsy is performed. Digital Images are required to be registered and enhanced prior to application of any deterministic algorithm. This paper provides both effective and efficient improvements over existing algorithms and introduces some innovative ideas based on image segmentation process to develop computer aided diagnosis tools that can help the radiologists in making accurate interpretation of the digital mammograms.

Keywords


Breast Cancer, De-Noising, Diagnosis Image Features, Mammography.

References