82 related articles for article (PubMed ID: 22097272)
1. [A segmentation algorithm of OCT image for macula edema].
Yang P; Peng Q; Lin W; Yang X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Oct; 28(5):1001-6. PubMed ID: 22097272
[TBL] [Abstract][Full Text] [Related]
2. Intra-retinal layer segmentation in optical coherence tomography images.
Mishra A; Wong A; Bizheva K; Clausi DA
Opt Express; 2009 Dec; 17(26):23719-28. PubMed ID: 20052083
[TBL] [Abstract][Full Text] [Related]
3. Automated segmentation of the macula by optical coherence tomography.
Fabritius T; Makita S; Miura M; Myllylä R; Yasuno Y
Opt Express; 2009 Aug; 17(18):15659-69. PubMed ID: 19724565
[TBL] [Abstract][Full Text] [Related]
4. Development of an efficient algorithm for the detection of macular edema from optical coherence tomography images.
Jemshi KM; Gopi VP; Issac Niwas S
Int J Comput Assist Radiol Surg; 2018 Sep; 13(9):1369-1377. PubMed ID: 29845454
[TBL] [Abstract][Full Text] [Related]
5. Clinical validation of an algorithm for rapid and accurate automated segmentation of intracoronary optical coherence tomography images.
Chatzizisis YS; Koutkias VG; Toutouzas K; Giannopoulos A; Chouvarda I; Riga M; Antoniadis AP; Cheimariotis G; Doulaverakis C; Tsampoulatidis I; Bouki K; Kompatsiaris I; Stefanadis C; Maglaveras N; Giannoglou GD
Int J Cardiol; 2014 Apr; 172(3):568-80. PubMed ID: 24529948
[TBL] [Abstract][Full Text] [Related]
6. Automatic diagnosis of abnormal macula in retinal optical coherence tomography images using wavelet-based convolutional neural network features and random forests classifier.
Rasti R; Mehridehnavi A; Rabbani H; Hajizadeh F
J Biomed Opt; 2018 Mar; 23(3):1-10. PubMed ID: 29564864
[TBL] [Abstract][Full Text] [Related]
7. Correlation between spectral domain optical coherence tomography findings and fluorescein angiography patterns in diabetic macular edema.
Yeung L; Lima VC; Garcia P; Landa G; Rosen RB
Ophthalmology; 2009 Jun; 116(6):1158-67. PubMed ID: 19395034
[TBL] [Abstract][Full Text] [Related]
8. Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms.
Rashno A; Koozekanani DD; Drayna PM; Nazari B; Sadri S; Rabbani H; Parhi KK
IEEE Trans Biomed Eng; 2018 May; 65(5):989-1001. PubMed ID: 28783619
[TBL] [Abstract][Full Text] [Related]
9. [Application of improved PCNN algorithm in retinal macular edema segmentation].
Xie Z; Gu M; Wu Y; Zheng D
Zhongguo Yi Liao Qi Xie Za Zhi; 2012 Nov; 36(6):411-4. PubMed ID: 23461116
[TBL] [Abstract][Full Text] [Related]
10. Automated segmentation of macular edema in OCT using deep neural networks.
Hu J; Chen Y; Yi Z
Med Image Anal; 2019 Jul; 55():216-227. PubMed ID: 31096135
[TBL] [Abstract][Full Text] [Related]
11. Automated segmentation of macular edema for the diagnosis of ocular disease using deep learning method.
Wang Z; Zhong Y; Yao M; Ma Y; Zhang W; Li C; Tao Z; Jiang Q; Yan B
Sci Rep; 2021 Jun; 11(1):13392. PubMed ID: 34183684
[TBL] [Abstract][Full Text] [Related]
12. Use of nonmydriatic spectral-domain optical coherence tomography for diagnosing diabetic macular edema.
Medina FJ; Callén CI; Rebolleda G; Muñoz-Negrete FJ; Callén MJ; del Valle FG
Am J Ophthalmol; 2012 Mar; 153(3):536-543.e1. PubMed ID: 21996307
[TBL] [Abstract][Full Text] [Related]
13. Optical coherence tomography and confocal scanning laser tomography for assessment of macular edema.
Degenring RF; Aschmoneit I; Kamppeter B; Budde WM; Jonas JB
Am J Ophthalmol; 2004 Sep; 138(3):354-61. PubMed ID: 15364216
[TBL] [Abstract][Full Text] [Related]
14. Automated phase retardation oriented segmentation of chorio-scleral interface by polarization sensitive optical coherence tomography.
Duan L; Yamanari M; Yasuno Y
Opt Express; 2012 Jan; 20(3):3353-66. PubMed ID: 22330573
[TBL] [Abstract][Full Text] [Related]
15. Signal processing for sidelobe suppression in optical coherence tomography images.
Wang Y; Liang Y; Xu K
J Opt Soc Am A Opt Image Sci Vis; 2010 Mar; 27(3):415-21. PubMed ID: 20208930
[TBL] [Abstract][Full Text] [Related]
16. Temporal variation in diabetic macular edema measured by optical coherence tomography.
Frank RN; Schulz L; Abe K; Iezzi R
Ophthalmology; 2004 Feb; 111(2):211-7. PubMed ID: 15019364
[TBL] [Abstract][Full Text] [Related]
17. Automated segmentation of intraretinal cystoid fluid in optical coherence tomography.
Wilkins GR; Houghton OM; Oldenburg AL
IEEE Trans Biomed Eng; 2012 Apr; 59(4):1109-14. PubMed ID: 22271827
[TBL] [Abstract][Full Text] [Related]
18. Correlation between fluorescein angiography and spectral-domain optical coherence tomography in the diagnosis of cystoid macular edema.
Jittpoonkuson T; Garcia PM; Rosen RB
Br J Ophthalmol; 2010 Sep; 94(9):1197-200. PubMed ID: 19965832
[TBL] [Abstract][Full Text] [Related]
19. Artifacts in automatic retinal segmentation using different optical coherence tomography instruments.
Giani A; Cigada M; Esmaili DD; Salvetti P; Luccarelli S; Marziani E; Luiselli C; Sabella P; Cereda M; Eandi C; Staurenghi G
Retina; 2010 Apr; 30(4):607-16. PubMed ID: 20094011
[TBL] [Abstract][Full Text] [Related]
20. Monitoring cystoid macular edema by optical coherence tomography in patients with retinitis pigmentosa.
Apushkin MA; Fishman GA; Janowicz MJ
Ophthalmology; 2004 Oct; 111(10):1899-904. PubMed ID: 15465554
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
