588 related articles for article (PubMed ID: 25014980)
1. Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification.
Roychowdhury S; Koozekanani DD; Parhi KK
IEEE J Biomed Health Inform; 2015 May; 19(3):1118-28. PubMed ID: 25014980
[TBL] [Abstract][Full Text] [Related]
2. Iterative Vessel Segmentation of Fundus Images.
Roychowdhury S; Koozekanani DD; Parhi KK
IEEE Trans Biomed Eng; 2015 Jul; 62(7):1738-49. PubMed ID: 25700436
[TBL] [Abstract][Full Text] [Related]
3. Optic Disc Boundary and Vessel Origin Segmentation of Fundus Images.
Roychowdhury S; Koozekanani DD; Kuchinka SN; Parhi KK
IEEE J Biomed Health Inform; 2016 Nov; 20(6):1562-1574. PubMed ID: 26316237
[TBL] [Abstract][Full Text] [Related]
4. Supervised retinal vessel segmentation from color fundus images based on matched filtering and AdaBoost classifier.
Memari N; Ramli AR; Bin Saripan MI; Mashohor S; Moghbel M
PLoS One; 2017; 12(12):e0188939. PubMed ID: 29228036
[TBL] [Abstract][Full Text] [Related]
5. Blood vessel segmentation in color fundus images based on regional and Hessian features.
Shah SAA; Tang TB; Faye I; Laude A
Graefes Arch Clin Exp Ophthalmol; 2017 Aug; 255(8):1525-1533. PubMed ID: 28474130
[TBL] [Abstract][Full Text] [Related]
6. [New Approach of Fundus Image Segmentation Evaluation Based on Topology Structure].
Sheng H; Dai P; Liu Z; Zhang-Wen M; Zhao Y; Fan M
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Oct; 32(5):1100-5. PubMed ID: 26964319
[TBL] [Abstract][Full Text] [Related]
7. FABC: retinal vessel segmentation using AdaBoost.
Lupascu CA; Tegolo D; Trucco E
IEEE Trans Inf Technol Biomed; 2010 Sep; 14(5):1267-74. PubMed ID: 20529750
[TBL] [Abstract][Full Text] [Related]
8. An ensemble classification-based approach applied to retinal blood vessel segmentation.
Fraz MM; Remagnino P; Hoppe A; Uyyanonvara B; Rudnicka AR; Owen CG; Barman SA
IEEE Trans Biomed Eng; 2012 Sep; 59(9):2538-48. PubMed ID: 22736688
[TBL] [Abstract][Full Text] [Related]
9. Retinal vessel segmentation in colour fundus images using Extreme Learning Machine.
Zhu C; Zou B; Zhao R; Cui J; Duan X; Chen Z; Liang Y
Comput Med Imaging Graph; 2017 Jan; 55():68-77. PubMed ID: 27289537
[TBL] [Abstract][Full Text] [Related]
10. Segmentation of the blood vessels and optic disk in retinal images.
Salazar-Gonzalez A; Kaba D; Li Y; Liu X
IEEE J Biomed Health Inform; 2014 Nov; 18(6):1874-86. PubMed ID: 25265617
[TBL] [Abstract][Full Text] [Related]
11. Retinal image analysis using curvelet transform and multistructure elements morphology by reconstruction.
Miri MS; Mahloojifar A
IEEE Trans Biomed Eng; 2011 May; 58(5):1183-92. PubMed ID: 21147592
[TBL] [Abstract][Full Text] [Related]
12. Retinal vessel segmentation using a multi-scale medialness function.
Moghimirad E; Hamid Rezatofighi S; Soltanian-Zadeh H
Comput Biol Med; 2012 Jan; 42(1):50-60. PubMed ID: 22099700
[TBL] [Abstract][Full Text] [Related]
13. Retina Image Vessel Segmentation Using a Hybrid CGLI Level Set Method.
Chen G; Chen M; Li J; Zhang E
Biomed Res Int; 2017; 2017():1263056. PubMed ID: 28840122
[TBL] [Abstract][Full Text] [Related]
14. Segmenting retinal vessels with revised top-bottom-hat transformation and flattening of minimum circumscribed ellipse.
Wang W; Wang W; Hu Z
Med Biol Eng Comput; 2019 Jul; 57(7):1481-1496. PubMed ID: 30903529
[TBL] [Abstract][Full Text] [Related]
15. Blood Vessel Segmentation of Fundus Retinal Images Based on Improved Frangi and Mathematical Morphology.
Tian F; Li Y; Wang J; Chen W
Comput Math Methods Med; 2021; 2021():4761517. PubMed ID: 34122614
[TBL] [Abstract][Full Text] [Related]
16. [Automatic detection of vessels in color fundus images].
Jiménez S; Alemany P; Fondón I; Foncubierta A; Acha B; Serrano C
Arch Soc Esp Oftalmol; 2010 Mar; 85(3):103-9. PubMed ID: 20619121
[TBL] [Abstract][Full Text] [Related]
17. BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.
Guo S; Wang K; Kang H; Zhang Y; Gao Y; Li T
Int J Med Inform; 2019 Jun; 126():105-113. PubMed ID: 31029251
[TBL] [Abstract][Full Text] [Related]
18. Multi-proportion channel ensemble model for retinal vessel segmentation.
Tang P; Liang Q; Yan X; Zhang D; Coppola G; Sun W
Comput Biol Med; 2019 Aug; 111():103352. PubMed ID: 31301636
[TBL] [Abstract][Full Text] [Related]
19. Hard Attention Net for Automatic Retinal Vessel Segmentation.
Wang D; Haytham A; Pottenburgh J; Saeedi O; Tao Y
IEEE J Biomed Health Inform; 2020 Dec; 24(12):3384-3396. PubMed ID: 32750941
[TBL] [Abstract][Full Text] [Related]
20. Parallel multiscale feature extraction and region growing: application in retinal blood vessel detection.
Palomera-Pérez MA; Martinez-Perez ME; Benítez-Pérez H; Ortega-Arjona JL
IEEE Trans Inf Technol Biomed; 2010 Mar; 14(2):500-6. PubMed ID: 20007040
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
