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Items: 1 to 20 of 76

1.

Model-controlled flooding with applications to image reconstruction and segmentation.

Wang Q, West M.

J Electron Imaging. 2012 Jun 22;21(2). pii: 023020.

2.

Generalized flooding and Multicue PDE-based image segmentation.

Sofou A, Maragos P.

IEEE Trans Image Process. 2008 Mar;17(3):364-76. doi: 10.1109/TIP.2007.916156.

PMID:
18270125
3.

Grayscale level connectivity: theory and applications.

Braga-Neto U, Goutsias J.

IEEE Trans Image Process. 2004 Dec;13(12):1567-80.

PMID:
15575152
4.

Watershed segmentation of dermoscopy images using a watershed technique.

Wang H, Chen X, Moss RH, Stanley RJ, Stoecker WV, Celebi ME, Szalapski TM, Malters JM, Grichnik JM, Marghoob AA, Rabinovitz HS, Menzies SW.

Skin Res Technol. 2010 Aug;16(3):378-84. doi: 10.1111/j.1600-0846.2010.00445.x.

5.

Natural image segmentation based on tree equipartition, Bayesian flooding and region merging.

Panagiotakis C, Grinias I, Tziritas G.

IEEE Trans Image Process. 2011 Aug;20(8):2276-87. doi: 10.1109/TIP.2011.2114893. Epub 2011 Feb 14.

PMID:
21324776
6.
7.

Supervised learning-based cell image segmentation for p53 immunohistochemistry.

Mao KZ, Zhao P, Tan PH.

IEEE Trans Biomed Eng. 2006 Jun;53(6):1153-63.

PMID:
16761842
8.

A watershed approach for improving medical image segmentation.

Zanaty EA, Afifi A.

Comput Methods Biomech Biomed Engin. 2013;16(12):1262-72. doi: 10.1080/10255842.2012.666794. Epub 2012 Mar 30.

PMID:
22463709
9.

A method and software for segmentation of anatomic object ensembles by deformable m-reps.

Pizer SM, Fletcher PT, Joshi S, Gash AG, Stough J, Thall A, Tracton G, Chaney EL.

Med Phys. 2005 May;32(5):1335-45.

PMID:
15984685
10.

Automatic setae segmentation from Chaetoceros microscopic images.

Zheng H, Zhao H, Sun X, Gao H, Ji G.

Microsc Res Tech. 2014 Sep;77(9):684-90. doi: 10.1002/jemt.22389. Epub 2014 Jun 10.

PMID:
24913015
11.

A hybrid framework for 3D medical image segmentation.

Chen T, Metaxas D.

Med Image Anal. 2005 Dec;9(6):547-65.

PMID:
15896997
12.

Improved watershed transform for medical image segmentation using prior information.

Grau V, Mewes AU, Alcañiz M, Kikinis R, Warfield SK.

IEEE Trans Med Imaging. 2004 Apr;23(4):447-58.

PMID:
15084070
13.

Multi-class multi-scale series contextual model for image segmentation.

Seyedhosseini M, Tasdizen T.

IEEE Trans Image Process. 2013 Nov;22(11):4486-96. doi: 10.1109/TIP.2013.2274388. Epub 2013 Jul 23.

PMID:
23893724
14.

Medical image segmentation via atlases and fuzzy object models: Improving efficacy through optimum object search and fewer models.

Phellan R, Falcão AX, Udupa JK.

Med Phys. 2016 Jan;43(1):401. doi: 10.1118/1.4938577.

PMID:
26745933
15.

Classification-driven watershed segmentation.

Levner I, Zhang H.

IEEE Trans Image Process. 2007 May;16(5):1437-45.

PMID:
17491471
16.
17.

Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting.

Kong H, Gurcan M, Belkacem-Boussaid K.

IEEE Trans Med Imaging. 2011 Sep;30(9):1661-77. doi: 10.1109/TMI.2011.2141674. Epub 2011 Apr 11.

18.

A wrapper-based approach to image segmentation and classification.

Farmer ME, Jain AK.

IEEE Trans Image Process. 2005 Dec;14(12):2060-72.

PMID:
16370459
19.

Segmentation of nerve fibers using multi-level gradient watershed and fuzzy systems.

Wang YY, Sun YN, Lin CC, Ju MS.

Artif Intell Med. 2012 Mar;54(3):189-200. doi: 10.1016/j.artmed.2011.11.008. Epub 2012 Jan 11.

PMID:
22239996
20.

Interactive volume segmentation with differential image foresting transforms.

Falcão AX, Bergo FP.

IEEE Trans Med Imaging. 2004 Sep;23(9):1100-8.

PMID:
15377119

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