161 related articles for article (PubMed ID: 31018679)
1. Mathematical morphology for microaneurysm detection in fundus images.
Joshi S; Karule PT
Eur J Ophthalmol; 2020 Sep; 30(5):1135-1142. PubMed ID: 31018679
[TBL] [Abstract][Full Text] [Related]
2. Microaneurysms detection in color fundus images using machine learning based on directional local contrast.
Long S; Chen J; Hu A; Liu H; Chen Z; Zheng D
Biomed Eng Online; 2020 Apr; 19(1):21. PubMed ID: 32295576
[TBL] [Abstract][Full Text] [Related]
3. Resilient back-propagation machine learning-based classification on fundus images for retinal microaneurysm detection.
Steffi S; Sam Emmanuel WR
Int Ophthalmol; 2024 Feb; 44(1):91. PubMed ID: 38367192
[TBL] [Abstract][Full Text] [Related]
4. Detection of microaneurysms using ant colony algorithm in the early diagnosis of diabetic retinopathy.
Selçuk T; Alkan A
Med Hypotheses; 2019 Aug; 129():109242. PubMed ID: 31371092
[TBL] [Abstract][Full Text] [Related]
5. Statistical Geometrical Features for Microaneurysm Detection.
Manjaramkar A; Kokare M
J Digit Imaging; 2018 Apr; 31(2):224-234. PubMed ID: 28785874
[TBL] [Abstract][Full Text] [Related]
6. Microaneurysm detection using fully convolutional neural networks.
Chudzik P; Majumdar S; Calivá F; Al-Diri B; Hunter A
Comput Methods Programs Biomed; 2018 May; 158():185-192. PubMed ID: 29544784
[TBL] [Abstract][Full Text] [Related]
7. Automatic detection of microaneurysms in retinal fundus images.
Wu B; Zhu W; Shi F; Zhu S; Chen X
Comput Med Imaging Graph; 2017 Jan; 55():106-112. PubMed ID: 27595214
[TBL] [Abstract][Full Text] [Related]
8. Retinal Microaneurysms Detection Using Gradient Vector Analysis and Class Imbalance Classification.
Dai B; Wu X; Bu W
PLoS One; 2016; 11(8):e0161556. PubMed ID: 27564376
[TBL] [Abstract][Full Text] [Related]
9. Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms.
Khojasteh P; Aliahmad B; Kumar DK
BMC Ophthalmol; 2018 Nov; 18(1):288. PubMed ID: 30400869
[TBL] [Abstract][Full Text] [Related]
10. Detection of microaneurysms and hemorrhages based on improved Hessian matrix.
Yang L; Yan S; Xie Y
Int J Comput Assist Radiol Surg; 2021 Jun; 16(6):883-894. PubMed ID: 33978894
[TBL] [Abstract][Full Text] [Related]
11. Automated lesion detectors in retinal fundus images.
Figueiredo IN; Kumar S; Oliveira CM; Ramos JD; Engquist B
Comput Biol Med; 2015 Nov; 66():47-65. PubMed ID: 26378502
[TBL] [Abstract][Full Text] [Related]
12. An ensemble-based system for microaneurysm detection and diabetic retinopathy grading.
Antal B; Hajdu A
IEEE Trans Biomed Eng; 2012 Jun; 59(6):1720-6. PubMed ID: 22481810
[TBL] [Abstract][Full Text] [Related]
13. Secondary Observer System for Detection of Microaneurysms in Fundus Images Using Texture Descriptors.
Derwin DJ; Selvi ST; Singh OJ
J Digit Imaging; 2020 Feb; 33(1):159-167. PubMed ID: 31144148
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of automated fundus photograph analysis algorithms for detecting microaneurysms, haemorrhages and exudates, and of a computer-assisted diagnostic system for grading diabetic retinopathy.
Dupas B; Walter T; Erginay A; Ordonez R; Deb-Joardar N; Gain P; Klein JC; Massin P
Diabetes Metab; 2010 Jun; 36(3):213-20. PubMed ID: 20219404
[TBL] [Abstract][Full Text] [Related]
15. Simple hybrid method for fine microaneurysm detection from non-dilated diabetic retinopathy retinal images.
Sopharak A; Uyyanonvara B; Barman S
Comput Med Imaging Graph; 2013; 37(5-6):394-402. PubMed ID: 23777979
[TBL] [Abstract][Full Text] [Related]
16. Automatic detection of microaneurysms and hemorrhages in digital fundus images.
Kande GB; Savithri TS; Subbaiah PV
J Digit Imaging; 2010 Aug; 23(4):430-7. PubMed ID: 19921335
[TBL] [Abstract][Full Text] [Related]
17. Microaneurysm detection in color eye fundus images for diabetic retinopathy screening.
Melo T; Mendonça AM; Campilho A
Comput Biol Med; 2020 Nov; 126():103995. PubMed ID: 33007620
[TBL] [Abstract][Full Text] [Related]
18. Improving microaneurysm detection in color fundus images by using context-aware approaches.
Antal B; Hajdu A
Comput Med Imaging Graph; 2013; 37(5-6):403-8. PubMed ID: 23746595
[TBL] [Abstract][Full Text] [Related]
19. A fully automated comparative microaneurysm digital detection system.
Cree MJ; Olson JA; McHardy KC; Sharp PF; Forrester JV
Eye (Lond); 1997; 11 ( Pt 5)():622-8. PubMed ID: 9474307
[TBL] [Abstract][Full Text] [Related]
20. [Automatic detection of microaneurysms in colour fundus images].
Jiménez S; Alemany P; Núñez Benjumea F; Serrano C; Acha B; Fondón I; Carral F; Sánchez C
Arch Soc Esp Oftalmol; 2011 Sep; 86(9):277-81. PubMed ID: 21893260
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]