Open mha image files in Python (2015 brats challenge dataset)
I want to use deep learning for medical image segmentation as my graduation thesis, the data used is 2015 brats challenge.
for example:
MHA file
but i don't how to open the .mha files by use python.I use the tensorflow framework, so it's more convenient to use python, and besides that, I need to do some preprocessing of the data graph.
from medpy.io import load
url = r'G:pathtomine.mha'
mage_data,image_header = load(url)
Then:
medpy.core.exceptions.DependencyError: Loading images of type Itk/Vtk MetaImage (.mhd, .mha/.raw) requires a third-party module that could not be encountered. Reason: No module named 'filter'.
The brats challenge is an international competition.But I don't know what network structure I'm supposed to use to train my network. If you have good advice, please let me know.
python tensorflow deep-learning
add a comment |
I want to use deep learning for medical image segmentation as my graduation thesis, the data used is 2015 brats challenge.
for example:
MHA file
but i don't how to open the .mha files by use python.I use the tensorflow framework, so it's more convenient to use python, and besides that, I need to do some preprocessing of the data graph.
from medpy.io import load
url = r'G:pathtomine.mha'
mage_data,image_header = load(url)
Then:
medpy.core.exceptions.DependencyError: Loading images of type Itk/Vtk MetaImage (.mhd, .mha/.raw) requires a third-party module that could not be encountered. Reason: No module named 'filter'.
The brats challenge is an international competition.But I don't know what network structure I'm supposed to use to train my network. If you have good advice, please let me know.
python tensorflow deep-learning
add a comment |
I want to use deep learning for medical image segmentation as my graduation thesis, the data used is 2015 brats challenge.
for example:
MHA file
but i don't how to open the .mha files by use python.I use the tensorflow framework, so it's more convenient to use python, and besides that, I need to do some preprocessing of the data graph.
from medpy.io import load
url = r'G:pathtomine.mha'
mage_data,image_header = load(url)
Then:
medpy.core.exceptions.DependencyError: Loading images of type Itk/Vtk MetaImage (.mhd, .mha/.raw) requires a third-party module that could not be encountered. Reason: No module named 'filter'.
The brats challenge is an international competition.But I don't know what network structure I'm supposed to use to train my network. If you have good advice, please let me know.
python tensorflow deep-learning
I want to use deep learning for medical image segmentation as my graduation thesis, the data used is 2015 brats challenge.
for example:
MHA file
but i don't how to open the .mha files by use python.I use the tensorflow framework, so it's more convenient to use python, and besides that, I need to do some preprocessing of the data graph.
from medpy.io import load
url = r'G:pathtomine.mha'
mage_data,image_header = load(url)
Then:
medpy.core.exceptions.DependencyError: Loading images of type Itk/Vtk MetaImage (.mhd, .mha/.raw) requires a third-party module that could not be encountered. Reason: No module named 'filter'.
The brats challenge is an international competition.But I don't know what network structure I'm supposed to use to train my network. If you have good advice, please let me know.
python tensorflow deep-learning
python tensorflow deep-learning
edited Nov 7 '17 at 15:11
hey6775
asked Nov 7 '17 at 6:45
hey6775hey6775
218
218
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
You can use MedPy package for this.
sudo apt-get install python-pip python-numpy python-scipy libboost-python-dev build-essential
Then:
sudo pip install nibabel pydicom medpy
And the Python usage:
from medpy.io import load
mage_data, image_header = load('/path/to/image.mha')
The library supports some useful preprocessing and analysis functions as well.
Good luck!
,sorry,It seems that there have been some mistakes.
– hey6775
Nov 7 '17 at 15:08
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f47151562%2fopen-mha-image-files-in-python-2015-brats-challenge-dataset%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can use MedPy package for this.
sudo apt-get install python-pip python-numpy python-scipy libboost-python-dev build-essential
Then:
sudo pip install nibabel pydicom medpy
And the Python usage:
from medpy.io import load
mage_data, image_header = load('/path/to/image.mha')
The library supports some useful preprocessing and analysis functions as well.
Good luck!
,sorry,It seems that there have been some mistakes.
– hey6775
Nov 7 '17 at 15:08
add a comment |
You can use MedPy package for this.
sudo apt-get install python-pip python-numpy python-scipy libboost-python-dev build-essential
Then:
sudo pip install nibabel pydicom medpy
And the Python usage:
from medpy.io import load
mage_data, image_header = load('/path/to/image.mha')
The library supports some useful preprocessing and analysis functions as well.
Good luck!
,sorry,It seems that there have been some mistakes.
– hey6775
Nov 7 '17 at 15:08
add a comment |
You can use MedPy package for this.
sudo apt-get install python-pip python-numpy python-scipy libboost-python-dev build-essential
Then:
sudo pip install nibabel pydicom medpy
And the Python usage:
from medpy.io import load
mage_data, image_header = load('/path/to/image.mha')
The library supports some useful preprocessing and analysis functions as well.
Good luck!
You can use MedPy package for this.
sudo apt-get install python-pip python-numpy python-scipy libboost-python-dev build-essential
Then:
sudo pip install nibabel pydicom medpy
And the Python usage:
from medpy.io import load
mage_data, image_header = load('/path/to/image.mha')
The library supports some useful preprocessing and analysis functions as well.
Good luck!
answered Nov 7 '17 at 11:51
rkellermrkellerm
3,22463878
3,22463878
,sorry,It seems that there have been some mistakes.
– hey6775
Nov 7 '17 at 15:08
add a comment |
,sorry,It seems that there have been some mistakes.
– hey6775
Nov 7 '17 at 15:08
,sorry,It seems that there have been some mistakes.
– hey6775
Nov 7 '17 at 15:08
,sorry,It seems that there have been some mistakes.
– hey6775
Nov 7 '17 at 15:08
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f47151562%2fopen-mha-image-files-in-python-2015-brats-challenge-dataset%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown