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DC Field | Value | Language |
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dc.contributor.author | Abdalla Ahmed Ali, Hassan | - |
dc.contributor.author | Alhag Alobed, Mohamed | - |
dc.date.accessioned | 2018-05-24T13:02:44Z | - |
dc.date.available | 2018-05-24T13:02:44Z | - |
dc.date.issued | 2018-05-24 | - |
dc.identifier.citation | 10.21275/ART2018308 | en_US |
dc.identifier.issn | 2319-7064 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/450 | - |
dc.description | Paper ID: ART2018308-Volume 7 Issue 5, May 2018-DOI: 10.21275/ART2018308-www.ijsr.net | en_US |
dc.description.abstract | Breast cancer remains a subject of intense. The aim of this paper is to review existing approaches of processing mammograms at different stages to detect breast cancer at the earliest. Most of techniques are used in Mammogram classification aimed to help the radiologist to classify the Mammogram as benign or malignant image. Moreover this paper helps to understand the different stages in mammograms and the already existing techniques in that area for further exploration. The review has been done in different stages namely mammogram pre-processing and classification in the recent years. The results obtained using different techniques are also reported | en_US |
dc.description.sponsorship | Shendi University | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | International Journal of Science and Research (IJSR) | en_US |
dc.relation.ispartofseries | Volume 7;Issue 5, May 2018 | - |
dc.subject | Breast | en_US |
dc.subject | Cancer | en_US |
dc.subject | intense | en_US |
dc.subject | mammograms | en_US |
dc.subject | Breast Cancer | en_US |
dc.title | Review on Approaches Different Classification for Mammogram Image | en_US |
dc.title.alternative | Review on Approaches Different Classification for Mammogram Image | en_US |
dc.type | Article | en_US |
Appears in Collections: | Researches and Scientific Papers البحوث والأوراق العلمية |
Files in This Item:
File | Description | Size | Format | |
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Review on Approaches Different Classification for Mammogram Image.pdf | 132.53 kB | Adobe PDF | View/Open |
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