How to find which slice has the nodule detected

[bijoygit]

Hi . Thanks for the wonderful explanation. Can you please give me some info on how to find whcih slice has the nodule detected.

[bijoygit]

Can you please help me in this . This is just one thing I couldn’t understand

[lfz]

look at the demo file

2018-01-09 19:48 GMT+08:00 Bijoy Kumar Khandelwal notifications@github.com :

Can you please help me in this . This is just one thing I couldn’t understand

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-- 廖方舟 清华大学医学院 Liao Fangzhou School of Medicine Tsinghua University Beijing 100084 China

[bijoygit]

Sorry . But the demo file doesn’t help me to get the particular slice which has nodule . Can u just let me know how to get a particular slice with nodule

[lfz]

In [41]:

box

Out[41]:

array([169, 153, 69, 13])

169 is the slice number

In [42]:

ax = plt.subplot(1,1,1)plt.imshow(img[0,box[0]],'gray')

2018-01-12 12:27 GMT+08:00 Bijoy Kumar Khandelwal notifications@github.com :

Sorry . But the demo file doesn’t help me to get the particular slice which has nodule . Can u just let me know how to get a particular slice with nodule

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-- 廖方舟 清华大学医学院 Liao Fangzhou School of Medicine Tsinghua University Beijing 100084 China

[lfz]

196 means the slice number in the numpy file, the resolution of the numpy file is different from the origin dicom file

2018-01-12 13:12 GMT+08:00 Bijoy Kumar Khandelwal notifications@github.com :

Thanks. Actually I have a patient data with 140 dicom files. But the box shows

('BOX', array([196, 50, 145, 12]))

How is that possible ?

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-- 廖方舟 清华大学医学院 Liao Fangzhou School of Medicine Tsinghua University Beijing 100084 China

[lfz]

store the crop and resize parameters during preprocessing,

and revert the coordinate found in the resized version back to the original one

2018-01-12 13:38 GMT+08:00 Bijoy Kumar Khandelwal notifications@github.com :

Is there anyway I can map it back to the original slice number ?

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