A new effective and powerful medical image segmentation algorithm based on optimum path snakes

Author:

Filho Pedro P. RebouçasORCID,da Silva Barros Antonio C.,Almeida Jefferson S.,Rodrigues J.P.C.ORCID,de Albuquerque Victor Hugo C.ORCID

Funder

Federal Institute of Education, Science and Technology of Ceará

National Funding from the FCT - Fundação para a Ciência e a Tecnologia

Brazilian National Council for Research and Development (CNPq)

Publisher

Elsevier BV

Subject

Software

Reference64 articles.

1. Segmentation of edge preserving gradient vector flow: an approach toward automatically initializing and splitting of snakes;Li,2005

2. Identification and quantification of pulmonary emphysema through pseudocolors;da Silva Felix,2008

3. Optimization and standardization of lung densitometry in the assessment of pulmonary emphysema;Stoel;Investigative Radiol.,2004

4. L. He, Z. Peng, B. Everding, X. Wang, C.Y. Han, K.L. Weiss, W.G. Wee, A comparative study of deformable contour methods on medical image segmentation, 26 (2) (2008) 141–163.

5. M. Kass, A. Witkin, D. Terzopoulos, Snakes: active contour models, 1 (4) (1988) 321–331.

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