Literature DB >> 10660267

Region based techniques for segmentation of volumetric histo-pathological images.

P S Adiga1, B B Chaudhuri.   

Abstract

In this article we have presented the application of three region based segmentation techniques namely, seeded volume growing, constrained erosion-dilation techniques and 3-D watershed algorithm. The algorithms are suitably extended to apply on 3-D histo-pathological images. Suitable modifications and extension for each algorithm is done to obtain better segmentation. A quantitative as well as qualitative comparison of the three methods is presented. Modifications to these algorithms for obtaining better results are discussed. The modifications include, (1) design of adaptive similarity measures to control the seeded volume growing and (2) rule-based merging of the over-segmented cells in the case of the 3-D watershed algorithm. Some results and quantitative study is also presented.

Mesh:

Year:  2000        PMID: 10660267     DOI: 10.1016/s0169-2607(99)00026-7

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  2 in total

1.  Quantification of neuronal density across cortical depth using automated 3D analysis of confocal image stacks.

Authors:  Jenna G Kelly; Michael J Hawken
Journal:  Brain Struct Funct       Date:  2017-02-27       Impact factor: 3.270

2.  A three-dimensional image processing program for accurate, rapid, and semi-automated segmentation of neuronal somata with dense neurite outgrowth.

Authors:  James D Ross; D Kacy Cullen; James P Harris; Michelle C LaPlaca; Stephen P DeWeerth
Journal:  Front Neuroanat       Date:  2015-07-20       Impact factor: 3.856

  2 in total

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