Annotate-System-for-Medical-Image

https://github.com/vinhbestever/Annotate-System-for-Medical-Image

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
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Academic email domains
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (4.5%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: vinhbestever
License: apache-2.0
Language: Python
Default Branch: main
Size: 52.6 MB

Statistics

Stars: 1
Watchers: 1
Forks: 1
Open Issues: 0
Releases: 0

Created almost 3 years ago · Last pushed over 1 year ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation

README.md

KLTN

Installation

Source supports following OS with GPU/CUDA enabled. - Ubuntu.

Source require: - Anaconda 4.10.3 - python 3.9 - node 14.4.0

Install source code

bash git clone https://github.com/vinhbestever/KTTN.git pip install -r MONAILabel/requirements.txt export PATH=$PATH:`pwd`/MONAILabel/monailabel/scripts

```bash cd plugins/ohif sudo sh requirements.sh # installs yarn sh build.sh

sudo apt-get install orthanc orthanc-dicomweb -y sudo apt-get install plastimatch -y ```

Run source code

bash ./monailabel/scripts/monailabel start_server \ -a apps/radiology \ -s http://127.0.0.1:8042/dicom-web \ --conf models deepgrow_2d,localization_spine,localization_vertebra,segmentation_vertebra

Owner

Login: vinhbestever
Kind: user

Repositories: 1
Profile: https://github.com/vinhbestever

Citation (CITATION.cff)

If you are using MONAI Label in your research, please use the following citations:

@article{DiazPinto2022monailabel,
   author = {Diaz-Pinto, Andres and Alle, Sachidanand and Ihsani, Alvin and Asad, Muhammad and
            Nath, Vishwesh and P{\'e}rez-Garc{\'\i}a, Fernando and Mehta, Pritesh and
            Li, Wenqi and Roth, Holger R. and Vercauteren, Tom and Xu, Daguang and
            Dogra, Prerna and Ourselin, Sebastien and Feng, Andrew and Cardoso, M. Jorge},
    title = {{MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images}},
  journal = {arXiv e-prints},
     year = 2022,
     url  = {https://arxiv.org/pdf/2203.12362.pdf}
}

# YAML 1.2
# Metadata for citation of this software according to the CFF format (https://citation-file-format.github.io/)
#
---
title: "MONAI: Medical Open Network for AI"
abstract: "AI Toolkit for Healthcare Imaging"
authors:
  - name: "MONAI Consortium"
date-released: 2020-03-28
version: "0.6.0"
doi: "10.5281/zenodo.4323058"
license: "Apache-2.0"
repository-code: "https://github.com/Project-MONAI/MONAILabel"
cff-version: "1.1.0"
message: "If you use this software, please cite it using these metadata."
...

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