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Dark lesion elimination based on area, eccentricity and extent features for supporting haemorrhages detection

Communications in Science and Technology · Vol. 4 No. 1 (2019) · hlm. 7–11

DOI
10.21924/cst.4.1.2019.110
ISSN
2502-9266, 2502-9258
Terbit
2019-07-14
Penerbit
Komunitas Ilmuwan dan Profesional Muslim Indonesia
Bahasa
eng

Abstrak

One of the complications due to the long-term of diabetes is retinal vessels damaging called diabetic retinopathy. It is characterised by appearing the bleeding spots in the large size (haemorrhages) on the surface of retina. Early detection of haemorrhages is needed for preventing the worst effect which leads to vision loss. This study aims to detect haemorrhages by eliminating other dark lesion objects that have similar characteristics with haemorrhages based on three features, i.e. area, eccentricity and extent features. This study uses 43 retinal fundus images taken from DIARETDB1 database. Based on the validation process, the average level of sensitivity gained is 80.5%. These results indicate that the proposed method is quite capable of detecting haemorrhages which appear in the retinal surface.

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23 penulis · 52 tautan kepenulisan bersama · 10 lintas organisasi

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  • Universitas Gadjah Mada
  • Sunan Gunung Djati State Islamic University Bandung
  • Muhammadiyah University Purwokerto
  • King Mongkut's Institute of Technology Ladkrabang
  • Muhammadiyah University of Yogyakarta
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Rekan penulisOrganisasiArtikel bersama
Hanung Adi NugrohoUniversitas Gadjah Mada5
Teguh Bharata AdjiUniversitas Gadjah Mada2
Oyas WahyunggoroUniversitas Gadjah Mada2
Adha Imam CahyadiUniversitas Gadjah Mada2
Hendri Himawan TriharmintoUniversitas Gadjah Mada2
Dian Nova Kusuma HardaniMuhammadiyah University Purwokerto2
Yenny RahmawatiUniversitas Gadjah Mada2
Kuntpong WoraratpanyaKing Mongkut's Institute of Technology Ladkrabang2
Tri Putri LestariSunan Gunung Djati State Islamic University Bandung1
Rezty Amalia ArasUniversitas Gadjah Mada1
Latifah ListyalinaUniversitas Gadjah Mada1
Sunu WibiramaUniversitas Gadjah Mada1
Indah SoesantiUniversitas Gadjah Mada1
Christianus Frederick HotamaUniversitas Gadjah Mada1
Thea KiranaUniversitas Gadjah Mada1
Vicko PranowoUniversitas Gadjah Mada1
Augustine Herini Tita HutamiUniversitas Gadjah Mada1
Chandra Ramadhan Atmaja PerdanaUniversitas Gadjah Mada1
Etik IrijantiMuhammadiyah University of Yogyakarta1

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Sumber metadata: OAI-PMH (metadata jurnal) https://cst.kipmi.or.id/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Dark lesion elimination based on area, eccentricity and extent features for supporting haemorrhages detection</dc:title>
	<dc:creator>Yulyanti, Vesi</dc:creator>
	<dc:creator>Adi Nugroho, Hanung</dc:creator>
	<dc:creator>Ardiyanto, Igi</dc:creator>
	<dc:creator>Oktoeberza, Widhia KZ</dc:creator>
	<dc:subject xml:lang="en-US">Retinal image; haemorrhages detection; dark lesions; eccentricity feature, extent feature</dc:subject>
	<dc:description xml:lang="en-US">One of the complications due to the long-term of diabetes is retinal vessels damaging called diabetic retinopathy. It is characterised by appearing the bleeding spots in the large size (haemorrhages) on the surface of retina. Early detection of haemorrhages is needed for preventing the worst effect which leads to vision loss. This study aims to detect haemorrhages by eliminating other dark lesion objects that have similar characteristics with haemorrhages based on three features, i.e. area, eccentricity and extent features. This study uses 43 retinal fundus images taken from DIARETDB1 database. Based on the validation process, the average level of sensitivity gained is 80.5%. These results indicate that the proposed method is quite capable of detecting haemorrhages which appear in the retinal surface.</dc:description>
	<dc:publisher xml:lang="en-US">Komunitas Ilmuwan dan Profesional Muslim Indonesia</dc:publisher>
	<dc:date>2019-07-14</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://cst.kipmi.or.id/journal/article/view/110</dc:identifier>
	<dc:identifier>10.21924/cst.4.1.2019.110</dc:identifier>
	<dc:source xml:lang="en-US">Communications in Science and Technology; Vol. 4 No. 1 (2019); 7-11</dc:source>
	<dc:source xml:lang="id-ID">Communications in Science and Technology; Vol 4 No 1 (2019); 7-11</dc:source>
	<dc:source>2502-9266</dc:source>
	<dc:source>2502-9258</dc:source>
	<dc:source>10.21924/cst.4.1.2019</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://cst.kipmi.or.id/journal/article/view/110/53</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Communications in Science and Technology</dc:rights>
</oai_dc:dc>