2D-gel spot detection and segmentation based on modified image-aware grow-cut and regional intensity information.
- DOI
- 10.1016/j.cmpb.2015.06.007
- Published
- 2015 Oct
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2015.06.007,
title = {2D-gel spot detection and segmentation based on modified image-aware grow-cut and regional intensity information.},
author = {Kostopoulou E and Katsigiannis S and Maroulis D},
year = {2015},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2015.06.007},
url = {https://doi.org/10.1016/j.cmpb.2015.06.007}
}RIS
TY - JOUR TI - 2D-gel spot detection and segmentation based on modified image-aware grow-cut and regional intensity information. AU - Kostopoulou E AU - Katsigiannis S AU - Maroulis D PY - 2015 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2015.06.007 UR - https://doi.org/10.1016/j.cmpb.2015.06.007 ER -
APA
E, K., S, K., & D, M. (2015). 2D-gel spot detection and segmentation based on modified image-aware grow-cut and regional intensity information.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2015.06.007
Source records
- pubmed · retrieved 2026-09-24T20:42:17.294Z