Integration of local and global features for anatomical object detection in ultrasound.
The use of classifier-based object detection has found to be a promising approach in medical anatomy detection. In ultrasound images, the detection task is very challenging due to speckle, shadows and low contrast characteristic features. Typical detection algorithms that use purely intensity-based...
Hlavní autoři: | Rahmatullah, B, Papageorghiou, A, Noble, J |
---|---|
Médium: | Conference item |
Vydáno: |
2012
|
Podobné jednotky
-
Image Analysis Using Machine Learning: Anatomical landmarks detection in fetal ultrasound images
Autor: Rahmatullah, B, a další
Vydáno: (2012) -
QUALITY CONTROL OF FETAL ULTRASOUND IMAGES: DETECTION OF ABDOMEN ANATOMICAL LANDMARKS USING ADABOOST
Autor: Rahmatullah, B, a další
Vydáno: (2011) -
Automated Selection of Standardized Planes from Ultrasound Volume
Autor: Rahmatullah, B, a další
Vydáno: (2011) -
AUTOMATIC DETECTION OF LOCAL FETAL BRAIN STRUCTURES IN ULTRASOUND IMAGES
Autor: Yaqub, M, a další
Vydáno: (2012) -
A Novel Local-Phase Method of Automatic Atlas Construction in Fetal Ultrasound
Autor: Fathima, S, a další
Vydáno: (2011)