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test

int a = 0;
int *b = &a;







G


cluster_0

process #1


cluster_1

process #2



a0

a0



a1

a1



a0->a1





a2

a2



a1->a2





b3

b3



a1->b3





a3

a3



a2->a3





a3->a0





end





end



a3->end





b0

b0



b1

b1



b0->b1





b2

b2



b1->b2





b2->a3





b2->b3





b3->end





start





start



start->a0





start->b0
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JeffBla
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contributed by < JeffBla >

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Identification-of-core-XCT-photographs.md Intro For now, due to its convenience and simplicity, I use Python to design the algorithm and find the solution to this program. What I have done: Read dicom images. Extracte the data in the dicom files, such as pixel, rescale slope and rescale intercept. Use the extracted data to calculate CT value by the formula:Hu = pixel * rescale slope + rescale intercept Scale the value of pixel data into 0~255, so that we can apply image processing algorithms to this gray image.

May 11, 2023
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Published on HackMD