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Items: 1 to 20 of 80

1.

Automatic segmentation of closed-contour features in ophthalmic images using graph theory and dynamic programming.

Chiu SJ, Toth CA, Bowes Rickman C, Izatt JA, Farsiu S.

Biomed Opt Express. 2012 May 1;3(5):1127-40. doi: 10.1364/BOE.3.001127.

2.

Automatic cone photoreceptor segmentation using graph theory and dynamic programming.

Chiu SJ, Lokhnygina Y, Dubis AM, Dubra A, Carroll J, Izatt JA, Farsiu S.

Biomed Opt Express. 2013 May 22;4(6):924-37. doi: 10.1364/BOE.4.000924.

3.

Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming.

Larocca F, Chiu SJ, McNabb RP, Kuo AN, Izatt JA, Farsiu S.

Biomed Opt Express. 2011 Jun 1;2(6):1524-38. doi: 10.1364/BOE.2.001524.

4.

Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology.

Srinivasan PP, Heflin SJ, Izatt JA, Arshavsky VY, Farsiu S.

Biomed Opt Express. 2014 Jan 7;5(2):348-65. doi: 10.1364/BOE.5.000348.

5.

Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema.

Chiu SJ, Allingham MJ, Mettu PS, Cousins SW, Izatt JA, Farsiu S.

Biomed Opt Express. 2015 Mar 9;6(4):1172-94. doi: 10.1364/BOE.6.001172.

6.

Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation.

Chiu SJ, Li XT, Nicholas P, Toth CA, Izatt JA, Farsiu S.

Opt Express. 2010 Aug 30;18(18):19413-28. doi: 10.1364/OE.18.019413.

7.

Graph-based segmentation of abnormal nuclei in cervical cytology.

Zhang L, Kong H, Liu S, Wang T, Chen S, Sonka M.

Comput Med Imaging Graph. 2017 Mar;56:38-48. doi: 10.1016/j.compmedimag.2017.01.002.

PMID:
28222324
8.

Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images.

Chiu SJ, Izatt JA, O'Connell RV, Winter KP, Toth CA, Farsiu S.

Invest Ophthalmol Vis Sci. 2012 Jan 5;53(1):53-61. doi: 10.1167/iovs.11-7640.

PMID:
22039246
9.

Automatic Vessel Shade-Robust Segmentation of Retinal Layers in OCT Images.

González-López A, Ortega M, Penedo MG, Charlón P.

Stud Health Technol Inform. 2014;207:47-54.

PMID:
25488210
10.

Augmenting atlas-based liver segmentation for radiotherapy treatment planning by incorporating image features proximal to the atlas contours.

Li D, Liu L, Chen J, Li H, Yin Y, Ibragimov B, Xing L.

Phys Med Biol. 2017 Jan 7;62(1):272-288.

PMID:
27991439
11.

Automated segmentation by pixel classification of retinal layers in ophthalmic OCT images.

Vermeer KA, van der Schoot J, Lemij HG, de Boer JF.

Biomed Opt Express. 2011 Jun 1;2(6):1743-56. doi: 10.1364/BOE.2.001743.

12.

Segmentation of myocardium from cardiac MR images using a novel dynamic programming based segmentation method.

Qian X, Lin Y, Zhao Y, Wang J, Liu J, Zhuang X.

Med Phys. 2015 Mar;42(3):1424-35. doi: 10.1118/1.4907993.

PMID:
25735296
13.

Dynamic Programming Using Polar Variance for Image Segmentation.

Rosado-Toro JA, Altbach MI, Rodriguez JJ.

IEEE Trans Image Process. 2016 Oct 6. [Epub ahead of print]

PMID:
27723594
14.

A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia.

Hareendranathan AR, Mabee M, Punithakumar K, Noga M, Jaremko JL.

Int J Comput Assist Radiol Surg. 2016 Jan;11(1):31-42. doi: 10.1007/s11548-015-1239-5.

PMID:
26092660
15.

Hybrid segmentation of mass in mammograms using template matching and dynamic programming.

Song E, Xu S, Xu X, Zeng J, Lan Y, Zhang S, Hung CC.

Acad Radiol. 2010 Nov;17(11):1414-24. doi: 10.1016/j.acra.2010.07.008.

PMID:
20817575
16.

Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming.

Maduskar P, Hogeweg L, de Jong PA, Peters-Bax L, Dawson R, Ayles H, Sánchez CI, van Ginneken B.

Med Phys. 2014 Jul;41(7):071912. doi: 10.1118/1.4881096.

PMID:
24989390
17.

Fully automatic prostate segmentation from transrectal ultrasound images based on radial bas-relief initialization and slice-based propagation.

Yu Y, Chen Y, Chiu B.

Comput Biol Med. 2016 Jul 1;74:74-90. doi: 10.1016/j.compbiomed.2016.05.002.

PMID:
27208705
18.

Multi-region labeling and segmentation using a graph topology prior and atlas information in brain images.

Al-Shaikhli SD, Yang MY, Rosenhahn B.

Comput Med Imaging Graph. 2014 Dec;38(8):725-34. doi: 10.1016/j.compmedimag.2014.06.008.

PMID:
24998760
19.

Automated segmentation of outer retinal layers in macular OCT images of patients with retinitis pigmentosa.

Yang Q, Reisman CA, Chan K, Ramachandran R, Raza A, Hood DC.

Biomed Opt Express. 2011 Sep 1;2(9):2493-503. doi: 10.1364/BOE.2.002493.

20.

Segmentation of intra-retinal layers from optical coherence tomography images using an active contour approach.

Yazdanpanah A, Hamarneh G, Smith BR, Sarunic MV.

IEEE Trans Med Imaging. 2011 Feb;30(2):484-96. doi: 10.1109/TMI.2010.2087390.

PMID:
20952331

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