@Article{JICS-9-262,
author = {Shangbing Gao and Haiyan Zhou and Yuebin Lin and Yue Zhang},
title = {Hippocampus Segmentation via active contour model},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {9},
number = {4},
pages = {262--266},
abstract = {Since hippocampal volume measurement is often used in studying Alzheimer’s disease to assess 
disease  progression,  automatic  hippocampus  segmentation  is  an  important  task  in  clinical  applications. 
However,  it  is  a  challenging  task  due  to  its  small  size,  complex  shape,  fuzzy  boundaries,  partial  volume 
effects,  and  anatomical  variability.  In  this  paper  we  propose  a  new  segmentation  method  to  segment  the 
hippocampus  from  brain  MRI  images  automatically.This  proposed  method  presents  a  new  region-based 
signed  pressure  force  function,  which  can  efficiently  stop  the  contours  at  weak  boundary.  Experimental 
results show that the model can fast and effectively segment the intensity inhomogeneous images. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22569.html}
}