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Description: GBA上运行的一个龙与地下城用骰子程序。当时实在找不到骰子了，只能自己写个东东来用。按下A后按下B键，得到随机数。-GBA running a Vegas dice with procedures. At that time, the dice is not only the Eastern write their own use. A press after press B button to be random.
Platform: |
Size: 101376 |
Author: luoli |
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Description: MAX7219/MAX7221是一种集成化的串行输入/输出共阴极显示驱动器,它连接微处理器与8位数字的7段数字LED显示，也可以连接条线图显示器或者64个独立的LED。- MAX7219CNG 0°C to+70°C 24 Narrow Plastic DIP MAX7219CWG 0°C to+70°C 24 Wide SO MAX7219C/D 0°C to+70°C Dice* MAX7219ENG-40°C to+85°C 24 Narrow Plastic DIP MAX7219EWG-40°C to+85°C 24 Wide SO MAX7219ERG-40°C to+85°C 24 Narrow CERDIP
Platform: |
Size: 24576 |
Author: zk |
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Description: Abstract—In this study, we propose a novel approach for accurate
3-D organ segmentation in the CT scan volumes. Instead of
using the organ’s prior information directly in the segmentation
process, here we utilize the knowledge of the organ to validate a
large number of potential segmentation outcomes that are generated
by a generic segmentation process. For this, an organ space
is generated based on the principal component analysis approach
using which the fidelity of each segment to the organ is measured.
We detail applications of the proposed method for the 3-D segmentation
of human kidney and liver in computed tomography scan
volumes. For evaluation, the public database of theMICCAI’s 2007
grand challenge workshop has been incorporated. Implementation
results show an average Dice similarity measure of 0.90 for the segmentation
of the kidney. For the liver segmentation, the proposed
algorithm achieves an average volume overlap error of 8.7 and
an average surface distance of 1.51 mm.-Abstract—In this study, we propose a novel approach for accurate
3-D organ segmentation in the CT scan volumes. Instead of
using the organ’s prior information directly in the segmentation
process, here we utilize the knowledge of the organ to validate a
large number of potential segmentation outcomes that are generated
by a generic segmentation process. For this, an organ space
is generated based on the principal component analysis approach
using which the fidelity of each segment to the organ is measured.
We detail applications of the proposed method for the 3-D segmentation
of human kidney and liver in computed tomography scan
volumes. For evaluation, the public database of theMICCAI’s 2007
grand challenge workshop has been incorporated. Implementation
results show an average Dice similarity measure of 0.90 for the segmentation
of the kidney. For the liver segmentation, the proposed
algorithm achieves an average volume overlap error of 8.7 and
an average surface distance of 1.51 mm.
Platform: |
Size: 865280 |
Author: robin |
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