{"_buckets": {"deposit": "0354fe7a-c386-4293-8d81-6e4acd8f5f20"}, "_deposit": {"created_by": 71, "id": "7360", "owner": "71", "owners": [71], "owners_ext": {"displayname": "Kay_Thwe", "username": "kay_thwe"}, "pid": {"revision_id": 0, "type": "depid", "value": "7360"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007360", "sets": ["1582963674932", "1597397050488", "user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Breast Cancer Research using Novel Segmentation Methods", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Breast cancer is reported as a common disease\nin number of women all across the world. Breast cancer\nis detected using mammograms. Then different\nsegmentation methods were tested and found that the\nAdaptive Thresholding Segmentation (ATS) method\nperformed well and the segmentation is accurately done\nby the CAD (computer-aided diagnosis) system.\nMammographic images were also subjected to ATS with\nGLC-CE and results are verified by the radiologist using\nthe size, shape and other parameters. We have validated\nthe results and findings with few noteworthy\ncontributions in the field of mammographic segmentation\nand analysis. Proposed CAD with hybrid segmentation\nmethod produces sensitivity of 97.55 % and specificity\nof 96.37 % with accuracy of 96.75 %"}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Breast cancer, mammograms, segmentation, image processing, tissues, CAD"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-11"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Breast Cancer Research using Novel Segmentation Methods.pdf", "filesize": [{"value": "730 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 730000.0, "url": {"url": "https://meral.edu.mm/record/7360/files/Breast Cancer Research using Novel Segmentation Methods.pdf"}, "version_id": "ff781449-d934-4a2f-bce0-a5aa5f04201e"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "IcSTIM", "subitem_c_date": "2019-09-16", "subitem_conference_title": "2019 Joint International Conference on Science, Technology and Innovation, Mandalay by IEEE", "subitem_place": "Mandalay Techological University, Myanmar", "subitem_website": "https://www.mtu.edu.mm/event/call-for-papers-3rd-joint-international-conference-on-science-technology-and-innovation-mandalay-with-japan-universities-company-research-group-2020-cooperated-by-ieee/"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Nwe Ni Kyaw"}, {"subitem_authors_fullname": "Myat Myo Nwe Wai"}, {"subitem_authors_fullname": "Phyu Myo Thwe"}, {"subitem_authors_fullname": "G R Sinha"}, {"subitem_authors_fullname": "Phyu Phyu Khaing"}, {"subitem_authors_fullname": "Moe Moe Htay"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2019-09-16"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "https://www.mtu.edu.mm/event/call-for-papers-3rd-joint-international-conference-on-science-technology-and-innovation-mandalay-with-japan-universities-company-research-group-2020-cooperated-by-ieee/"}, "item_title": "Breast Cancer Research using Novel Segmentation Methods", "item_type_id": "21", "owner": "71", "path": ["1582963674932", "1597397050488"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007360", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-11"}, "publish_date": "2021-01-11", "publish_status": "0", "recid": "7360", "relation": {}, "relation_version_is_last": true, "title": ["Breast Cancer Research using Novel Segmentation Methods"], "weko_shared_id": -1}