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More editorial changes covering the whole repo
Signed-off-by: M Q <[email protected]>
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docs/_static/custom.css

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/* Mermaid
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to avoid the lable text being cut off
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to avoid the label text being cut off
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*/
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.edgeTerminals {
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font-size: 9px !important;

docs/source/developing_with_sdk/packaging_app.md

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### Basic Usage of MONAI Application Packager
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```bash
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monai-deploy package <APP_PATH> --config <COMFIG> --tag <TAG> --platform <x64-workstation> [--models <MODEL_PATH>] [--log-level <LEVEL>] [-h]
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monai-deploy package <APP_PATH> --config <CONFIG> --tag <TAG> --platform <x64-workstation> [--models <MODEL_PATH>] [--log-level <LEVEL>] [-h]
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```
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#### Required Arguments

docs/source/getting_started/tutorials/mednist_app.md

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<div style="text-align: center;">
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<iframe width="560" height="315" src="https://www.youtube.com/embed/WwjilJFHuU4" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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<p>Video may show the use of previous SDK verson.</p>
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<p>Video may show the use of previous SDK version.</p>
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</div>
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```
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docs/source/getting_started/tutorials/monai_bundle_app.md

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<div style="text-align: center;">
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<iframe width="560" height="315" src="https://www.youtube.com/embed/nivgfD4pwWE" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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<p>Video may show the use of previous SDK verson.</p>
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<p>Video may show the use of previous SDK version.</p>
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</div>
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```
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docs/source/release_notes/v0.3.0.md

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### STL Surface Mesh Conversion Operator
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This operator converts a volume image to surface mesh, in [STL file format](https://en.wikipedia.org/wiki/STL_(file_format)). Its API allows the client to control if smoothing needs to be applied, and if only keeping the largest connected component; the latter is useful when muliple disjoint segments are in a volume image, and the application needs to control if all or only the largest to be included in the output.
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This operator converts a volume image to surface mesh, in [STL file format](https://en.wikipedia.org/wiki/STL_(file_format)). Its API allows the client to control if smoothing needs to be applied, and if only keeping the largest connected component; the latter is useful when multiple disjoint segments are in a volume image, and the application needs to control if all or only the largest to be included in the output.
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## What's fixed/updated
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docs/source/release_notes/v0.4.0.md

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The new operator, `MONAI Bundle Inference Operator`, is intended to automate the inference with a MONAI Bundle in TorchScript with the following functionalities:
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- Parse the model metadata and extra configuration data in the TorchScript file
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- Instanciate MONAI transforms and inferer objects per bundle configuration data
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- Instantiate MONAI transforms and inferer objects per bundle configuration data
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- Convert input/output of the operator to and from model network input
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- Support named model and can be used in a multi-model application
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docs/source/release_notes/v0.5.0.md

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- Generated DICOM instances as AI evidence now have the attribute <a href="https://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_C.12.html#table_C.12-1">(0008,0201) Timezone Offset From UTC</a>, in addition to the DICOM date and time which are set with values from the underlying operating system. The OS is expected to be synchronized with a known good timing source and have the correct timezone setting
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- Generated DICOM instance file names are now based on the SOP instance UID
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- Support DICOM instance level attribute matching in the DICOM Series Selection Operator
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- Operators and example applications are verified to be re-runable without needing to reinitialize the application object or re-load the AI model network. This will allow a main function or an external script to instantiate the application object once and use it to process multiple discreet inputs, either in a batch processing mode or in a long running service
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- Operators and example applications are verified to be re-runable without needing to reinitialize the application object or re-load the AI model network. This will allow a main function or an external script to instantiate the application object once and use it to process multiple discrete inputs, either in a batch processing mode or in a long running service
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- Tutorials, in Jupyter notebooks, are re-organized and updated
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- Reference added for <a href="https://github.com/Project-MONAI/monai-deploy/releases">MONAI Deploy Express</a> for hosting MAPs in development environments
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- Removed is the reference to the deprecated MONAI Inference Service

docs/srs.md

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### Background
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Please refer to [MONAI Application Packge Spec](https://github.com/Project-MONAI/monai-deploy-experimental/blob/main/guidelines/monai-application-package.md)for details.
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Please refer to [MONAI Application Package Spec](https://github.com/Project-MONAI/monai-deploy-experimental/blob/main/guidelines/monai-application-package.md)for details.
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### Verification Strategy
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monai/deploy/core/domain/dicom_series.py

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# Properties named after DICOM Series module attribute keywords
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# There are two required (Type 1) attrbutes for a series:
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# There are two required (Type 1) attributes for a series:
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# Keyword: SeriesInstanceUID, Tag: (0020,000E)
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# Keyword: Modality, Tag: (0008,0060)
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#

monai/deploy/core/domain/dicom_sop_instance.py

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class DICOMSOPInstance(Domain):
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"""This class representes a SOP Instance.
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"""This class represents a SOP Instance.
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An attribute can be looked up with a slice ([group_number, element number]).
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"""

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