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Bandyopadhyay, Samir Kumar
- Overview Process for Identification of Breast Abnormalities
Abstract Views :169 |
PDF Views:1
Authors
Affiliations
1 JIS University Kolkata, Agarpara Campus, Nilgunj Road, Agarpara, Kolkata, IN
1 JIS University Kolkata, Agarpara Campus, Nilgunj Road, Agarpara, Kolkata, IN
Source
Oriental Journal of Computer Science and Technology, Vol 11, No 3 (2018), Pagination: 140-142Abstract
Cancer is one of the most virulent diseases in the modern world that still remains a challenge, yet to be fully understood and conquered. Since exact cause of this disease still remains an enigma, preventive measures remain non-existent. It has been reported by several medical scientists that modern day lifestyles, pollution and exposure to hazardous environment may result in mutation of healthy living cells causing cancer. Genetic disorder is also known to cause cancer. Cancer can be found in different parts of the body and is named after the region of their origin like brain cancer, breast cancer, cervical cancer to name a few. Late detection fallouts in higher grade cancer detected with very poor prognosis, consequences into high mortality within few months. Early detection is the only hope for better prognosis and treatment.References
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- CAD Based Method for Detection of Breast Cancer
Abstract Views :181 |
PDF Views:0
Authors
Affiliations
1 B.P. Poddar Institute of Management & Technology, Kolkata, West Bengal, 700052, IN
2 Jis University, Kolkata, West Bengal-700109, IN
1 B.P. Poddar Institute of Management & Technology, Kolkata, West Bengal, 700052, IN
2 Jis University, Kolkata, West Bengal-700109, IN
Source
Oriental Journal of Computer Science and Technology, Vol 11, No 3 (2018), Pagination: 154-168Abstract
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
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