DocumentCode :
3756939
Title :
Artificial Neural Network Based Abdominal Organ Segmentations: A Review
Author :
Evgin Goceri;Esther Martinez
Author_Institution :
Dept. of Biomed. Inf., Ohio State Univ., Columbus, OH, USA
fYear :
2015
Firstpage :
1191
Lastpage :
1194
Abstract :
There are many neural network based abdominal organ segmentation approaches from medical images. Computed tomography images were mostly used in these approaches. Applied techniques are usually based on prior information regarding position, shape, and size of organs in these methods. In the literature, there are only a few neural network based techniques that were implemented to segment abdominal organs from magnetic resonance based images. In this paper, we present these methods and their results.
Keywords :
"Image segmentation","Artificial neural networks","Liver","Computed tomography","Biomedical imaging","Shape"
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications (ICMLA), 2015 IEEE 14th International Conference on
Type :
conf
DOI :
10.1109/ICMLA.2015.231
Filename :
7424482
Link To Document :
بازگشت