pre-processing on MRI images
$begingroup$
I have mri images of brain tumors collected from a hospital, (not a benchmark data)
My question is, how to decide whether these images needs preprocessing or not, such as noise removal by using median filter for example? in other words, how to determine if there is noise in this data?
dataset data-cleaning image-classification computer-vision preprocessing
asked 5 hours ago
gingin
143
$endgroup$
add a comment |
$begingroup$
I have mri images of brain tumors collected from a hospital, (not a benchmark data)
My question is, how to decide whether these images needs preprocessing or not, such as noise removal by using median filter for example? in other words, how to determine if there is noise in this data?
dataset data-cleaning image-classification computer-vision preprocessing
asked 5 hours ago
gingin
143
$endgroup$
add a comment |
$begingroup$
I have mri images of brain tumors collected from a hospital, (not a benchmark data)
My question is, how to decide whether these images needs preprocessing or not, such as noise removal by using median filter for example? in other words, how to determine if there is noise in this data?
dataset data-cleaning image-classification computer-vision preprocessing
asked 5 hours ago
gingin
143
$endgroup$
I have mri images of brain tumors collected from a hospital, (not a benchmark data)
My question is, how to decide whether these images needs preprocessing or not, such as noise removal by using median filter for example? in other words, how to determine if there is noise in this data?
dataset data-cleaning image-classification computer-vision preprocessing
dataset data-cleaning image-classification computer-vision preprocessing
asked 5 hours ago
gingin
143
asked 5 hours ago
gingin
143
asked 5 hours ago
gingin
143
asked 5 hours ago
gingin
143
asked 5 hours ago
gingin
143
143
add a comment |
add a comment |
1 Answer
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$begingroup$
It depends on how did you collect these MRI images from hospital and how do you want to use these MRI images.
- If you want to use these data in your deep learning model for segmentation or detection, it is possible to skip preprocessing.
- If you want to apply a classical data science approach, you can do some processing like feature extraction.
- Lastly, from another perspective, if you want to use also patient history with images, preprocessing can be necessary.
answered 26 mins ago
Abdüssamet ASLANAbdüssamet ASLAN
111
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add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
It depends on how did you collect these MRI images from hospital and how do you want to use these MRI images.
- If you want to use these data in your deep learning model for segmentation or detection, it is possible to skip preprocessing.
- If you want to apply a classical data science approach, you can do some processing like feature extraction.
- Lastly, from another perspective, if you want to use also patient history with images, preprocessing can be necessary.
answered 26 mins ago
Abdüssamet ASLANAbdüssamet ASLAN
111
$endgroup$
add a comment |
$begingroup$
It depends on how did you collect these MRI images from hospital and how do you want to use these MRI images.
- If you want to use these data in your deep learning model for segmentation or detection, it is possible to skip preprocessing.
- If you want to apply a classical data science approach, you can do some processing like feature extraction.
- Lastly, from another perspective, if you want to use also patient history with images, preprocessing can be necessary.
answered 26 mins ago
Abdüssamet ASLANAbdüssamet ASLAN
111
$endgroup$
add a comment |
$begingroup$
It depends on how did you collect these MRI images from hospital and how do you want to use these MRI images.
- If you want to use these data in your deep learning model for segmentation or detection, it is possible to skip preprocessing.
- If you want to apply a classical data science approach, you can do some processing like feature extraction.
- Lastly, from another perspective, if you want to use also patient history with images, preprocessing can be necessary.
answered 26 mins ago
Abdüssamet ASLANAbdüssamet ASLAN
111
$endgroup$
It depends on how did you collect these MRI images from hospital and how do you want to use these MRI images.
- If you want to use these data in your deep learning model for segmentation or detection, it is possible to skip preprocessing.
- If you want to apply a classical data science approach, you can do some processing like feature extraction.
- Lastly, from another perspective, if you want to use also patient history with images, preprocessing can be necessary.
answered 26 mins ago
Abdüssamet ASLANAbdüssamet ASLAN
111
answered 26 mins ago
Abdüssamet ASLANAbdüssamet ASLAN
111
answered 26 mins ago
Abdüssamet ASLANAbdüssamet ASLAN
111
answered 26 mins ago
Abdüssamet ASLANAbdüssamet ASLAN
111
111
add a comment |
add a comment |
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