Mercurial > hg > orthanc-book
diff Sphinx/source/users/rest.rst @ 825:e95713f90614 Orthanc-1.10.1
Orthanc 1.10.1
author | Sebastien Jodogne <s.jodogne@gmail.com> |
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date | Wed, 23 Mar 2022 18:04:53 +0100 |
parents | fa6d9c7237b4 |
children | 66ff2f30afcc |
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--- a/Sphinx/source/users/rest.rst Tue Mar 22 14:54:44 2022 +0100 +++ b/Sphinx/source/users/rest.rst Wed Mar 23 18:04:53 2022 +0100 @@ -94,7 +94,7 @@ $ curl -X POST -H "Expect:" http://localhost:8042/instances --data-binary @CT.X.1.2.276.0.7230010.dcm The code distribution of Orthanc contains a `sample Python script -<https://hg.orthanc-server.com/orthanc/file/Orthanc-1.10.0/OrthancServer/Resources/Samples/ImportDicomFiles/ImportDicomFiles.py>`__ +<https://hg.orthanc-server.com/orthanc/file/Orthanc-1.10.1/OrthancServer/Resources/Samples/ImportDicomFiles/ImportDicomFiles.py>`__ that recursively upload the content of some folder into Orthanc using the REST API:: @@ -106,7 +106,7 @@ import the content of ``.zip``, ``.tar.gz`` or ``.tar.bz2`` archives without having to uncompress them first. It also provides more comprehensive command-line options. `Check this script out -<https://hg.orthanc-server.com/orthanc/file/Orthanc-1.10.0/OrthancServer/Resources/Samples/ImportDicomFiles/OrthancImport.py>`__. +<https://hg.orthanc-server.com/orthanc/file/Orthanc-1.10.1/OrthancServer/Resources/Samples/ImportDicomFiles/OrthancImport.py>`__. .. highlight:: perl @@ -436,7 +436,7 @@ .. highlight:: python -Starting with Orthanc 1.10.0, it is possible to immediately download +Starting with Orthanc 1.10.1, it is possible to immediately download DICOM instances and DICOM series as numpy arrays (even if they use a compressed transfer syntax). This is especially useful for the integration within AI (artificial intelligence) pipelines. Here is a