Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "b53c70d7-5477-4313-a340-dcfd8a863a54"}, "_deposit": {"created_by": 71, "id": "7347", "owner": "71", "owners": [71], "owners_ext": {"displayname": "Kay_Thwe", "username": "kay_thwe"}, "pid": {"revision_id": 0, "type": "depid", "value": "7347"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007347", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Segmentation and Classification of  Skin Cancer from Skin Lesions", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "we present an automatic diagnosis system based on the\nABCD rule used in clinical diagnosis in order to discriminate benign from malignant skin lesions."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "melanoma, segmentation, skin lesion image, dermoscopy."}]}, "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": "Segmentation and Classification of  Skin Cancer from Skin Lesions.pdf", "filesize": [{"value": "4 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 4000000.0, "url": {"url": "https://meral.edu.mm/record/7347/files/Segmentation and Classification of  Skin Cancer from Skin Lesions.pdf"}, "version_id": "277c4993-50dc-45da-9c2e-8c986f4925a7"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICSTI", "subitem_c_date": "2018-10-05", "subitem_conference_title": "Proceedings of 2018 Joint International Conference on Science, Technology and Innovation, Mandalay with Japan University \u0026 Company Research Group cooperated by IEEE", "subitem_place": "Mandalay Technological University"}]}, "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": "2018-10-05"}, "item_title": "Segmentation and Classification of  Skin Cancer from Skin Lesions", "item_type_id": "21", "owner": "71", "path": ["1582963674932", "1597397050488"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007347", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-11"}, "publish_date": "2021-01-11", "publish_status": "0", "recid": "7347", "relation": {}, "relation_version_is_last": true, "title": ["Segmentation and Classification of  Skin Cancer from Skin Lesions"], "weko_shared_id": -1}
  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Information Science

Segmentation and Classification of Skin Cancer from Skin Lesions

http://hdl.handle.net/20.500.12678/0000007347
http://hdl.handle.net/20.500.12678/0000007347
c418f55b-802d-4da6-a1e7-4747ad1382c9
b53c70d7-5477-4313-a340-dcfd8a863a54
None
Preview
Name / File License Actions
Segmentation Segmentation and Classification of Skin Cancer from Skin Lesions.pdf (4 MB)
Publication type
Conference paper
Upload type
Publication
Title
Title Segmentation and Classification of Skin Cancer from Skin Lesions
Language en
Publication date 2018-10-05
Authors
Ohn Mar Lwin
Thin Lai Lai Thein
Description
we present an automatic diagnosis system based on the
ABCD rule used in clinical diagnosis in order to discriminate benign from malignant skin lesions.
Keywords
melanoma, segmentation, skin lesion image, dermoscopy.
Conference papers
ICSTI
2018-10-05
Proceedings of 2018 Joint International Conference on Science, Technology and Innovation, Mandalay with Japan University & Company Research Group cooperated by IEEE
Mandalay Technological University
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2021-01-11 03:37:02.715340
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL