{"_buckets": {"deposit": "838706d3-9f6c-4574-aedb-d376c06f28a9"}, "_deposit": {"created_by": 71, "id": "7339", "owner": "71", "owners": [71], "owners_ext": {"displayname": "Kay_Thwe", "username": "kay_thwe"}, "pid": {"revision_id": 0, "type": "depid", "value": "7339"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007339", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Automatic Skin Lesion Detection Using DWT Thresholding based Otsu Segmentation Method", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "an automatic skin lesion segmentation system is proposed in this paper. In segmentation process\nDiscrete Wavelet Transform (DWT) thresholding\nbased on Otsu method is applied to extract lesion\nareas."}]}, "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": "Automatic Skin Lesion Detection Using DWT Thresholding based Otsu Segmentation Method.pdf", "filesize": [{"value": "4.1 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 4099999.9999999995, "url": {"url": "https://meral.edu.mm/record/7339/files/Automatic Skin Lesion Detection Using DWT Thresholding based Otsu Segmentation Method.pdf"}, "version_id": "a4cb9299-ee3a-432d-a0c0-65a8e6832c05"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICCA", "subitem_c_date": "22-02-2018", "subitem_conference_title": "Proceedings of The 16th International Conference on Computer Applications 2018", "subitem_place": "Sedona Hotel,Yangon"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Ohn Mar Lwin"}, {"subitem_authors_fullname": "Thin Lai Lai Thein"}]}]}, "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": "2018-02-22"}, "item_title": "Automatic Skin Lesion Detection Using DWT Thresholding based Otsu Segmentation Method", "item_type_id": "21", "owner": "71", "path": ["1582963674932", "1597397050488"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007339", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-11"}, "publish_date": "2021-01-11", "publish_status": "0", "recid": "7339", "relation": {}, "relation_version_is_last": true, "title": ["Automatic Skin Lesion Detection Using DWT Thresholding based Otsu Segmentation Method"], "weko_shared_id": -1}