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How to find which slice has the nodule detected #60
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Can you please help me in this . This is just one thing I couldn’t understand |
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
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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 |
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>
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… 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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清华大学医学院
Liao Fangzhou
School of Medicine
Tsinghua University
Beijing 100084
China
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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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清华大学医学院
Liao Fangzhou
School of Medicine
Tsinghua University
Beijing 100084
China
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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>
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… Is there anyway I can map it back to the original slice number ?
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Liao Fangzhou
School of Medicine
Tsinghua University
Beijing 100084
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Hi . Thanks for the wonderful explanation. Can you please give me some info on how to find whcih slice has the nodule detected.
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