Comparison and evaluation of methods for liver segmentation from CT datasets
This paper presents a comparison study between 10 automatic and six interactive methods
for liver segmentation from contrast-enhanced CT images. It is based on results from the …
for liver segmentation from contrast-enhanced CT images. It is based on results from the …
Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography
Computed tomography (CT) imaging remains the most utilized modality for liver-related
cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature …
cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature …
Weakly-supervised teacher-student network for liver tumor segmentation from non-enhanced images
Accurate liver tumor segmentation without contrast agents (non-enhanced images) avoids
the contrast-agent-associated time-consuming and high risk, which offers radiologists quick …
the contrast-agent-associated time-consuming and high risk, which offers radiologists quick …
A hierarchical local region-based sparse shape composition for liver segmentation in CT scans
C Shi, Y Cheng, F Liu, Y Wang, J Bai, S Tamura - Pattern Recognition, 2016 - Elsevier
Motivated by the goals of improving segmentation of challenging liver cases containing low
contrast with neighboring organs and presence of pathologies as well as highly varied …
contrast with neighboring organs and presence of pathologies as well as highly varied …
Automatic liver segmentation from abdominal CT volumes using graph cuts and border marching
Abstract Background and Objective Identifying liver regions from abdominal computed
tomography (CT) volumes is an important task for computer-aided liver disease diagnosis …
tomography (CT) volumes is an important task for computer-aided liver disease diagnosis …
3D liver segmentation using multiple region appearances and graph cuts
Purpose: Efficient and accurate 3D liver segmentations from contrast‐enhanced computed
tomography (CT) images play an important role in therapeutic strategies for hepatic …
tomography (CT) images play an important role in therapeutic strategies for hepatic …
Algorithms for improving the dependability of firewall and filter rule lists
S Hazelhurst, A Attar… - … on Dependable Systems …, 2000 - ieeexplore.ieee.org
Network firewalls and routers use a rule database to decide which packets will be allowed
from one network on to another. By filtering packets, the firewalls and routers can improve …
from one network on to another. By filtering packets, the firewalls and routers can improve …
Liver segmentation based on region growing and level set active contour model with new signed pressure force function
L Xu, Y Zhu, Y Zhang, H Yang - Optik, 2020 - Elsevier
Segmentation of the whole liver in computed tomography (CT) images is important in liver
disease diagnosis. Although the commonly used level set methods (LSMs) and active …
disease diagnosis. Although the commonly used level set methods (LSMs) and active …
Segmentation of liver and spleen based on computational anatomy models
Accurate segmentation of abdominal organs is a key step in developing a computer-aided
diagnosis (CAD) system. Probabilistic atlas based on human anatomical structure, used as a …
diagnosis (CAD) system. Probabilistic atlas based on human anatomical structure, used as a …
Liver segmentation by intensity analysis and anatomical information in multi-slice CT images
AH Foruzan, R Aghaeizadeh Zoroofi, M Hori… - International journal of …, 2009 - Springer
Purpose Quantitative assessment and essentially segmentation of liver and its tumours are
of clinical importance in various procedures such as diagnosis, treatment planning, and …
of clinical importance in various procedures such as diagnosis, treatment planning, and …