Level set segmentation with shape prior knowledge using intrinsic rotation, translation and scaling alignment

2021 ◽  
Vol 63 ◽  
pp. 102241
Author(s):  
Cristobal Arrieta ◽  
Carlos A. Sing-Long ◽  
Joaquin Mura ◽  
Pablo Irarrazaval ◽  
Marcelo E. Andia ◽  
...  
Keyword(s):  
Prior Knowledge ◽  
Level Set ◽  
Shape Prior ◽  
Level Set Segmentation

Appearance and Shape Prior Alignments in Level Set Segmentation

2009 ◽  
pp. 282-289
Author(s):  
Carlos Platero ◽  
Maria C. Tobar ◽  
Javier Sanguino ◽  
Jose M. Poncela
Keyword(s):  
Level Set ◽  
Shape Prior ◽  
Level Set Segmentation

Retraction Notice: Improved Level Set Segmentation Algorithm Based on Kernel Fuzzy Particles Swarm Optimization (KFPSO) Clustering for MRI Images

2018 ◽  
Vol 14 ◽  
Author(s):  
G. Elaiyaraja
Keyword(s):  
Medical Imaging ◽  
Level Set ◽  
Current Medical ◽  
Segmentation Algorithm ◽  
Scientific Publishing ◽  
Swarm Optimization ◽  
Original Source ◽  
Level Set Segmentation ◽  
Copyright Violation ◽  
Retraction Notice

The article entitled “Improved Level Set Segmentation Algorithm Based on Kernel Fuzzy Particles Swarm Optimization (KFPSO) Clustering for MRI Images”, by G. Elaiyaraja, P. Epsiba, N. Kumaratharan and G. Suresh, has been retracted. Kindly see Bentham Science Policy on Article retraction at the link given below: (https://www.benthamscience.com/journals/current-medical-imaging/author-guidelines/). This article has been retracted on the request of the Editor. The authors have plagiarized a paper that had already been published in the journal Current Medical Imaging (CMIM) (Formerly: Current Medical Imaging Reviews) 14(3), Page: 389-400. http://www.eurekaselect.com/149444. It is a pre-requisite for authors to declare explicitly that their work is original and has not been published elsewhere. Authors are advised to properly cite the original source to avoid plagiarism and copyright violation. As such this article represents a severe abuse of the scientific publishing system. Bentham Science Publishers takes a very strong view on this matter and apologizes to the readers of the journal for any inconvenience this may cause.

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