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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/183
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dc.contributor.authorAkila, k-
dc.contributor.authorJayashree, L S-
dc.date.accessioned2022-03-09T09:09:04Z-
dc.date.available2022-03-09T09:09:04Z-
dc.date.issued2017-06-01-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/183-
dc.description.abstractBreast cancer is the most frequently diagnosed cancer in women It is newlinethe second leading cause of cancer death in women after lung cancer Early newlinedetection of breast cancer is believed to enhance the chance of survival newlineMammography is the best available breast imaging technique at present newlinewhich uses lowdose xrays for detecting the breast cancer early before the newlinesymptoms are experienced.The most commonly present abnormalities in newlinemammograms that may indicate the breast malignancy are masses and micro newlinecalcifications newlineThe prime objective of this research is to increase the diagnostic newlineaccuracy of the detection of breast cancer malignancy in Computer Aided newlineDiagnosis CAD systems by developing image processing algorithms and to newlinecategorize the women into different risk groups newline newlineen_US
dc.language.isoenen_US
dc.publisherANNA UNIVERSITYen_US
dc.subjectMammographyen_US
dc.subjectbreast canceren_US
dc.subjectEngineering Electrical and Electronicen_US
dc.subjectEngineeringen_US
dc.subjectEngineering and Technologyen_US
dc.titleEarly detection of breast cancer Using image processing algorithms And estimation of overall risken_US
dc.title.alternativehttps://shodhganga.inflibnet.ac.in/handle/10603/224358en_US
dc.title.alternativehttps://shodhganga.inflibnet.ac.in/bitstream/10603/224358/2/02_certificate.pdfen_US
dc.typeThesisen_US
Appears in Collections:Computer Science & Engineering

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