scholarly journals A Framework of Left Atrium Segmentation on CT Images with Combined Detection Network and Level Set Model

2019 ◽  
Author(s):  
Yashu Liu ◽  
Kuanquan Wang ◽  
Gongning Luo ◽  
Henggui Zhang
Keyword(s):  
Left Atrium ◽  
Level Set ◽  
Ct Images ◽  
Combined Detection ◽  
Level Set Model

scholarly journals A Modified Distance Regularized Level Set Model for Liver Segmentation from CT Images

2015 ◽  
Vol 6 (1) ◽  
pp. 01-11 ◽  
Author(s):  
Nuseiba M. Altarawneh ◽  
Suhuai Luo ◽  
Brian Regan ◽  
Changming Sun
Keyword(s):  
Level Set ◽  
Ct Images ◽  
Liver Segmentation ◽  
Level Set Model

Analysis of carotid artery plaque and wall boundaries on CT images by using a semi-automatic method based on level set model

2012 ◽  
Vol 54 (11) ◽  
pp. 1207-1214 ◽  
Author(s):  
Luca Saba ◽  
Hao Gao ◽  
U. Rajendra Acharya ◽  
Stefano Sannia ◽  
Giuseppe Ledda ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Level Set ◽  
Ct Images ◽  
Automatic Method ◽  
Carotid Artery Plaque ◽  
Level Set Model

scholarly journals B-PO04-180 LEFT ATRIUM RIGHT ATRIUM NETWORK (LARANET): A DEEP NEURAL NETWORK FOR BIATRIAL SEGMENTATION FROM MRI AND CT IMAGES

Heart Rhythm ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. S352
Author(s):  
Rebecca Yu ◽  
Rheeda L. Ali ◽  
Pallavi Pandey ◽  
Ryan P. Bradley ◽  
David D. Spragg ◽  
...  
Keyword(s):  
Neural Network ◽  
Left Atrium ◽  
Right Atrium ◽  
Deep Neural Network ◽  
Ct Images

SEGMENTATION OF ABDOMEN DISEASES USING ACTIVE CONTOUR MODELS IN CT IMAGES

2015 ◽  
Vol 27 (05) ◽  
pp. 1550047 ◽  
Author(s):  
Gaurav Sethi ◽  
B. S. Saini
Keyword(s):  
Level Set ◽  
Active Contour ◽  
Active Contour Model ◽  
Diagnostic System ◽  
Ct Images ◽  
Active Contour Models ◽  
Segmentation Methods ◽  
Contour Models ◽  
Edge Based ◽  
Level Set Evolution

Precise segmentation of abdomen diseases like tumor, cyst and stone are crucial in the design of a computer aided diagnostic system. The complexity of shapes and similarity of texture of disease with the surrounding tissues makes the segmentation of abdomen related diseases much more challenging. Thus, this paper is devoted to the segmentation of abdomen diseases using active contour models. The active contour models are formulated using the level-set method. Edge-based Distance Regularized Level Set Evolution (DRLSE) and region based Selective Binary and Gaussian Filtering Regularized Level Set (SBGFRLS) are used for segmentation of various abdomen diseases. These segmentation methods are applied on 60 CT images (20 images each of tumor, cyst and stone). Comparative analysis shows that edge-based active contour models are able to segment abdomen disease more accurately than region-based level set active contour model.

A Novel Hybrid Level Set Model for Non-Rigid Object Contour Tracking

2022 ◽  
Vol 31 ◽  
pp. 15-29
Author(s):  
Qing Cai ◽  
Huiying Liu ◽  
Yiming Qian ◽  
Sanping Zhou ◽  
Jinjun Wang ◽  
...  
Keyword(s):  
Level Set ◽  
Contour Tracking ◽  
Rigid Object ◽  
Object Contour ◽  
Object Contour Tracking ◽  
Level Set Model
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