A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography

2004 ◽  
Vol 31 (5) ◽  
pp. 958-971 ◽  
Author(s):  
Sheila Timp ◽  
Nico Karssemeijer
Keyword(s):  
Dynamic Programming ◽  
Computer Aided Detection ◽  
Segmentation Method ◽  
Computer Aided

scholarly journals Three-Dimensional Computer-Aided Detection of Microcalcification Clusters in Digital Breast Tomosynthesis

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Ji-wook Jeong ◽  
Seung-Hoon Chae ◽  
Eun Young Chae ◽  
Hak Hee Kim ◽  
Young-Wook Choi ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Three Dimensional ◽  
Digital Breast Tomosynthesis ◽  
Computer Aided Detection ◽  
Segmentation Method ◽  
Breast Tomosynthesis ◽  
Computer Aided ◽  
Bounding Boxes ◽  
Microcalcification Clusters ◽  
The Individual

We propose computer-aided detection (CADe) algorithm for microcalcification (MC) clusters in reconstructed digital breast tomosynthesis (DBT) images. The algorithm consists of prescreening, MC detection, clustering, and false-positive (FP) reduction steps. The DBT images containing the MC-like objects were enhanced by a multiscale Hessian-based three-dimensional (3D) objectness response function and a connected-component segmentation method was applied to extract the cluster seed objects as potential clustering centers of MCs. Secondly, a signal-to-noise ratio (SNR) enhanced image was also generated to detect the individual MC candidates and prescreen the MC-like objects. Each cluster seed candidate was prescreened by counting neighboring individual MC candidates nearby the cluster seed object according to several microcalcification clustering criteria. As a second step, we introduced bounding boxes for the accepted seed candidate, clustered all the overlapping cubes, and examined. After the FP reduction step, the average number of FPs per case was estimated to be 2.47 per DBT volume with a sensitivity of 83.3%.

Polyp segmentation method for CT colonography computer-aided detection

2003 ◽  
Author(s):  
Anna K. Jerebko ◽  
Sheldon Teerlink ◽  
Marek Franaszek ◽  
Ronald M. Summers
Keyword(s):  
Ct Colonography ◽  
Computer Aided Detection ◽  
Segmentation Method ◽  
Computer Aided

Computer-Aided Detection of Colorectal Polyps at CT Colonography

Endoscopy ◽  
2004 ◽  
Vol 36 (05) ◽  
Author(s):  
RJT Sadleir ◽  
PF Whelan ◽  
N Sezille ◽  
TA Chowdhury ◽  
A Moss ◽  
...  
Keyword(s):  
Ct Colonography ◽  
Colorectal Polyps ◽  
Computer Aided Detection ◽  
Computer Aided

Assessment of different ti-rads systems using computer-aided detection technology

2019 ◽  
Author(s):  
Kuen-Yuan Chen ◽  
Ming-Hsun Wu ◽  
Chiung-Nien Chen ◽  
Argon Chen
Keyword(s):  
Computer Aided Detection ◽  
Detection Technology ◽  
Computer Aided
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