Kernel Metadata Declaration — on demand
ISO 26324 asks a DOI Registration Agency to produce a Kernel Metadata Declaration for every DOI it issues. Give any DOI: its public record becomes a record in the Smart Scholars DOI Metadata Format 1.0, checked against every rule, and declared as the Kernel XML.
✓ Meets every rule of the format
The record below is complete and every controlled value is a DOI Attribute Value Set 2.3 spelling. The Declaration on the right follows DOIMetadataKernel.xsd element by element.
What the DOI identifies
Detection of Eye Diseases (Glaucoma & ARMD)
10.46243/jst.2021.v6.i3.pp155-168 · JournalArticle — an article in a journal · Digital · Visual · Language · en
Published 2021-06-02
Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 03 · pp. 155–168
Principal agents
- Ms. N Musrat Sultana (author → Author)
- Mr. Juturi Rama Krishna (author → Author)
- Longman Publishers (publisher → Publisher)
Also in the record, outside the Kernel: the abstract, the licence, 4 links, 13 references. Source: Crossref (member 25296), registered 2026-09-12, last deposited 2026-09-20.
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name and the Handbook's (in grey), read off the record.
| DOI Name DOI name | 10.46243/jst.2021.v6.i3.pp155-168 |
| Referent Type referentType | Creation |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal |
| Referent Name(s) referentName(s) | Detection of Eye Diseases (Glaucoma & ARMD) (PrincipalTitle, en) |
| Basic Metadata basicMetadata | author: Ms. N Musrat Sultana author: Mr. Juturi Rama Krishna publisher: Longman Publishers published: 2021-06-02 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 03 · pp. 155–168 language: en form: Digital · Visual · Language |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy |
| Created Date issueDate | 2026-09-12 |
| relatedIdentifiers | none needed — the descriptive metadata is in this record |
The record
{
"format": "smartscholars-doi-metadata/1.0",
"doi": "10.46243/jst.2021.v6.i3.pp155-168",
"referent": "Creation",
"type": "JournalArticle",
"structural_type": "Digital",
"modes": [
"Visual"
],
"characters": [
"Language"
],
"titles": [
{
"value": "Detection of Eye Diseases (Glaucoma & ARMD)",
"type": "PrincipalTitle",
"lang": "en"
}
],
"identifiers": [
{
"type": "DOI",
"value": "10.46243/jst.2021.v6.i3.pp155-168"
}
],
"agents": [
{
"role": "author",
"name": {
"given": "Ms. N Musrat",
"family": "Sultana"
},
"sequence": "first"
},
{
"role": "author",
"name": {
"given": "Mr. Juturi Rama",
"family": "Krishna"
},
"sequence": "additional"
},
{
"role": "publisher",
"name": {
"org": "Longman Publishers"
}
}
],
"dates": {
"published": "2021-06-02",
"date_type": "PublicationDate",
"online": "2021-06-02"
},
"language": "en",
"container": {
"type": "Journal",
"titles": [
{
"value": "Journal of Science & Technology",
"type": "PrincipalTitle"
}
],
"identifiers": [
{
"type": "ISSN",
"value": "2456-5660",
"medium": "electronic"
}
],
"volume": "06",
"issue": "03",
"pages": {
"first": "155",
"last": "168"
}
},
"links": [
{
"url": "https://www.jst.org.in/index.php/pub/article/view/850",
"return_type": "text/html",
"primary": true
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/850/779",
"purpose": "text-mining",
"return_type": "application/pdf"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/850/2435",
"purpose": "text-mining",
"return_type": "application/xml"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/view/850/779",
"purpose": "similarity-checking"
}
],
"abstract": {
"value": "As population aging has become a major demographic trend around the world, patients suffering from eye diseases, such as Glaucoma, ARMD are expected to increase. Early detection and appropriate treatment of eye diseases are of great significance to prevent vision loss and promote living quality. Conventional diagnosis methods are tremendously dependent on physicians, professional experience and knowledge, which lead to high misdiagnosis rate and huge waste of medical data. In this project, a deep learning model-based method which is inspired by the diagnostic process of human ophthalmologists is proposed to automatically classify the fundus photographs into 2 types with or without ARMD categories also, with or without Glaucoma. The project consists of two different neural network models developed to recognize the diseases, Glaucoma and ARMD.Better accuracy is obtained as we use deep learning. This project will be an aid to eye specialists in giving an efficient treatment. Eyesight is one of the most important senses, the developed project can help people all over to maintain eye care. This project uses Kaggle Glaucoma and ARMD datasets. This model predicts Glaucoma with 90% accuracy and ARMD with more than 70% accuracy.",
"lang": "en"
},
"license": {
"url": "https://creativecommons.org/licenses/by/4.0/",
"start": "2021-06-02",
"applies_to": "vor"
},
"references": [
{
"key": "ref1",
"doi": "10.1016/j.jocs.2017.03.005",
"unstructured": "Acharya U, Hagiwara Y, Koh J, Salatha. Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of orientated gradients (PHOG) and nonlinear features.Comput Sci. 2017;20:41e51"
},
{
"key": "ref2",
"doi": "10.1001/archopht.119.10.1417",
"unstructured": "AREDS Group. A randomized, placebo-controlled, clinical trial of high-dose supplementation and vitamins C and E, beta carotene, and zinc for age-related macular degeneration and vision loss: AREDS report no 8. Arch Ophthalmol. 2001;119:1417e36"
},
{
"key": "ref3",
"doi": "10.1001/archopht.123.11.1484",
"unstructured": "AREDS. The age-related eye disease study severity scale for age-related macular degeneration. Arch Opthalmology. 2006;123(11):1484e98"
},
{
"key": "ref4",
"doi": "10.1016/j.survophthal.2019.02.003",
"unstructured": "Automated detection of age-related macular degeneration in color fundus photography: a systematic review Emma Pead, MSa, *, Roly Megaw, MDb, James Cameron, PhD FRCOpthc, Alan Fleming, PhDd, Baljean Dhillon, FRCsEDb, Emanuele Trucco, PhDe,y, Thomas MacGillivray, PhDa,y"
},
{
"key": "ref5",
"doi": "10.1007/978-981-13-1501-5_28",
"unstructured": "Automated Detection of Glaucoma Using Image Processing Techniques Mishkin Khunger, Tanupriya Choudhury, Suresh Chandra Satapathy and Kuo-Chang Ting"
},
{
"key": "ref6",
"doi": "10.1111/aos.14306",
"unstructured": "Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration Cristina Gonzalez-Gonzalo,1,2,3,4 Veronica S anchez-Gutierrez,5 Paula Hernandez-Martınez,5 Ines Contreras,5,6 Yara T. Lechanteur,4 Artin"
},
{
"key": "ref7",
"doi": "10.1038/nn.3028",
"unstructured": "Bennilova I, Karran E, De Strooper B. The toxic Ab oligomer and Alzheimer’s disease: an emperor in need of clothes. Nat Neurosci. 2012;15(3):349e5"
},
{
"key": "ref8",
"doi": "10.1371/journal.pone.0167181",
"unstructured": "Brandi C, Breinlich V, Stark KJ, Enzinger S. Features of AgeRelated Macular Degeneration in the General Adults and Their Dependency on Age, Sex, and Smoking: Results from the German KORA Study. PLoS One. 2016;11:e0167181"
},
{
"key": "ref9",
"doi": "10.1109/iembs.2011.6090984",
"unstructured": "Burlina P, Freund D, Dupas B, Bressler N. Automatic screening of Age-related macular degeneration and retinal abnormalities. 33rd Annual International Conference"
},
{
"key": "ref10",
"unstructured": "Kesar T. N, T. C Manjunath, 'Diagnosis & detection of eye diseases using Deep Convolutional Neural Networks & Raspberry Pi', Second IEEE International Conference on Green Computing & Internet of Things (IOT), ICGCIoT, IEEE ISBN: 978-1-5386-5657-0 https://www.kaggle.com/himanshuagarwal1998/glaucoma"
},
{
"key": "ref11",
"doi": "10.1136/bjophthalmol-2018-313451",
"unstructured": "Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: confirmation between eye screening and comprehensive eye examination diagnoses"
},
{
"key": "ref12",
"unstructured": "SEMI-SUPERVISED TRANSFER LEARNING FOR CONVOLUTIONAL NEURAL"
},
{
"key": "ref13",
"unstructured": "NETWORKS FOR GLAUCOMA DETECTION Manal Al GhamdiMingqi Li† Mohamed Abdel-Mottaleb‡ Mohamed AbouShousha"
}
],
"record": {
"registrant": "Longman Publishers",
"registered": "2026-09-12",
"updated": "2026-09-20",
"issue_number": 1,
"source": "crossref-api",
"source_agency": "Crossref (member 25296)"
}
}The Kernel Metadata Declaration
DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation
<?xml version="1.0" encoding="UTF-8"?>
<!-- DRAFT declaration: Smart Scholars is not yet a DOI Registration Agency. registrationAgencyDoiName is a marker (10.0/ is no RA's prefix) and is filled in on accreditation. -->
<kernelMetadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.doi.org/2010/DOISchema https://www.doi.org/doi_schemas/DOIMetadataKernel.xsd" xmlns="http://www.doi.org/2010/DOISchema">
<referentDoiName>10.46243/jst.2021.v6.i3.pp155-168</referentDoiName>
<primaryReferentType>Creation</primaryReferentType>
<registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
<issueDate>2026-10-04</issueDate>
<issueNumber>1</issueNumber>
<referentCreation>
<name primaryLanguage="en">
<value>Detection of Eye Diseases (Glaucoma & ARMD)</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>10.46243/jst.2021.v6.i3.pp155-168</nonUriValue>
<uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jst.2021.v6.i3.pp155-168</uri>
<type>DOI</type>
</identifier>
<identifier>
<uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/850</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/download/850/779</uri>
<type>URI</type>
</identifier>
<identifier>
<uri returnType="application/xml">https://www.jst.org.in/index.php/pub/article/download/850/2435</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/view/850/779</uri>
<type>URI</type>
</identifier>
<structuralType>Digital</structuralType>
<mode>Visual</mode>
<character>Language</character>
<type>JournalArticle</type>
<principalAgent>
<name>
<value>Ms. N Musrat Sultana</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>Mr. Juturi Rama Krishna</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>Longman Publishers</value>
<type>PrincipalName</type>
</name>
<role>Publisher</role>
</principalAgent>
<linkedCreation>
<name>
<value>Journal of Science & Technology</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>2456-5660</nonUriValue>
<type>ISSN</type>
</identifier>
<referentCreationRole>Part</referentCreationRole>
<referentCreationSequenceIdentifier>
<value>06</value>
<type>VolumeNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>03</value>
<type>IssueNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>155-168</value>
<type>PageNumber</type>
</referentCreationSequenceIdentifier>
</linkedCreation>
<language>en</language>
<languageOfReferentContent>
<language>en</language>
<languageOfReferentContentType>Original</languageOfReferentContentType>
</languageOfReferentContent>
<creationDate>
<date>2021-06-02</date>
<creationDateType>PublicationDate</creationDateType>
</creationDate>
</referentCreation>
</kernelMetadata>
