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AmCAD UTe

AmCAD UTe

AmCAD-UT® Detection uses statistical pattern recognition and quantification methods to perform analytical processing of images. The physician may process the image for detection of sonographic characteristics (i.e., hyperechoic foci, echogenicity, texture, margin, anechoic areas, taller than wide, tumor shape, and tumor size) with assistance of AmCAD-UT® Detection. AmCAD-UT® Detection provides more detailed information with quantification and visualization of the sonographic characteristics on thyroid nodule that may assist medical professionals in making their diagnostic decision.

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Overview
AmCAD-UT® Detection uses statistical pattern recognition and quantification methods to perform analytical processing of images. The physician may process the image for detection of sonographic characteristics (i.e., hyperechoic foci, echogenicity, texture, margin, anechoic areas, taller than wide, tumor shape, and tumor size) with assistance of AmCAD-UT® Detection. AmCAD-UT® Detection provides more detailed information with quantification and visualization of the sonographic characteristics on thyroid nodule that may assist medical professionals in making their diagnostic decision.
Features
AmCad UTe is an innovative product which can assist professional physician to analyze ultrasound image.  

There are 3 problems in recent thyroid nodule diagnosis and treatment :
1. FNA is an invasive method used clinically recently, which has its own risks.
2. For tumors  smaller then 1 cubic cm, there is no appropriate diagnositic method nowadays.
3. There are more benign tumors than malignancy ones in surgically removed; however, drug is used in the rest of life after the surgical.

AmCad UTe is a UI friendly and non-invasive device, which is suitable for computer aided diagnosis and long-term tracking.



In images upon, the tumor region is circlled first. AmCad UTe is then helped analysis several features which is used in judging benign or malignancy of tumor based on literatures.
 
Specifications
Platform : Microsoft Windows XP or upgraded
CPU : Intel® 1.3 GHz Dual-Core or upgraded
Memory : 512MB and up
Graphic : Resolution 1024×768 and up, 24-bit full color and up 
Disk : 100MB and up 

 
Application
1. Tumor / Nodule ultrasound imaging analysis
2. Comment for the tumor / nodule
3. FNA or not recommendation based on guidelines
 
Collaboration Options
1. Finding : Agent corporation 
2. Market targeting : The whole world

 
More Information
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