SU-F-207-12: Optimal CT Scan Mode and Reconstruction Kernel Selection for Bone Fracture Detection Task Under Both Centered and Off-Centered Conditions

2015 ◽  
Vol 42 (6Part26) ◽  
pp. 3544-3544
Author(s):  
J Cruz Bastida ◽  
D Gomez-Cardona ◽  
K Li ◽  
T Szczykutowicz ◽  
G-H Chen
Keyword(s):  
Ct Scan ◽  
Bone Fracture ◽  
Detection Task ◽  
Fracture Detection ◽  
Kernel Selection ◽  
Reconstruction Kernel ◽  
Selection For

Multiple Reception Field Network with Attention Module on Bone Fracture Detection Task

2021 ◽  
Author(s):  
Mengxuan Wang ◽  
Guoshan Zhang ◽  
Bin Guan ◽  
Mingyang Xia ◽  
Xinbo Wang
Keyword(s):  
Bone Fracture ◽  
Detection Task ◽  
Fracture Detection ◽  
Field Network

scholarly journals Identification of Bone Fragmentation in X-Ray Images using Contour Detection Algorithm

2019 ◽  
Vol 8 (9) ◽  
pp. 2121-2124
Keyword(s):  
Edge Detection ◽  
Bone Fracture ◽  
Detection Algorithm ◽  
Contour Detection ◽  
Crack Identification ◽  
Fracture Detection ◽  
Canny Edge Detection ◽  
X Ray ◽  
Base Paper ◽  
Canny Edge

The crack can occur in any bone ofour body. Broken bone is a bone condition that endured a breakdown of bone trustworthiness. The Fracture can't recognize effortlessly by the bare eye, so it is found in the x-beam images. The motivation behind this task is to find the precise territory where the bone fracture happens utilizing X-Ray Bone Fracture Detection by Canny Edge Detection Method. Shrewd Edge Detection technique is an ideal edge identification calculation on deciding the finish of a line with alterable limit and less error rate. The reproduction results have indicated how canny edge detection can help decide area of breaks in x-beam images. In the base paper, the cracked bit is chosen physically to defeat this downside, the proposed technique identify the bone fracture consequently and furthermore it quantifies the parameter like length of the crack, profundity of the fracture and the situation of the crack as for even and vertical pivot. The outcome demonstrates that the proposed technique for crack identification is better. The outcomes demonstrate that calculation is 91% exact and effective

Combining classifiers for bone fracture detection in X-ray images

2005 ◽  
Author(s):  
Vineta Lai Fun Lum ◽  
Wee Kheng Leow ◽  
Ying Chen ◽  
Tet Sen Howe ◽  
Meng Ai Png
Keyword(s):  
Bone Fracture ◽  
Fracture Detection ◽  
Combining Classifiers ◽  
X Ray

SU-D-202-06: Prospective Free-Breathing CT Scan Selection for 5DCT

2016 ◽  
Vol 43 (6Part4) ◽  
pp. 3342-3342
Author(s):  
D O'Connell ◽  
D Thomas ◽  
T Dou ◽  
L Yang ◽  
J Lamb ◽  
...  
Keyword(s):  
Ct Scan ◽  
Free Breathing ◽  
Selection For
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