Metadata-Version: 2.1
Name: brain-segmen
Version: 0.0.2
Summary: Berikut ini adalah deskripsi singkat bagaimana segmentasi otak dibuat
Home-page: https://github.com/asyrofist/Brain-Segmentation
Author: Asyrofi (Rakha Asyrofi)
Author-email: rakhasyrofist@gmail.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/asyrofist/Brain-Segmentation/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

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# Brain Segmentation
Author  | [Rakha Asyrofi](https://scholar.google.com/citations?user=WN9T5UUAAAAJ&hl=id&oi=ao)
 -------|-----------
Version | 0.0.1
Updated | 2021-09-12

# Overview
Click this link to see [live demo](https://segbrain.herokuapp.com/) If you want to see 

Cerebellum and Frontal Lobe Segmentation Based on K-Means Clustering and Morphological Transformation described in [our paper at iSemantic2020](https://ieeexplore.ieee.org/document/9234262). Please kindly cite the following paper when you use this tool. It would also be appreciated if you send me a courtesy [website](http://rakha.asyrofi.com/) and [google scholar](https://scholar.google.com/citations?user=WN9T5UUAAAAJ&hl=id&oi=ao), so I could survey what kind of tasks the tool is used for. 
```
@INPROCEEDINGS{9234262,  author={Asyrofi, Rakha and Winata, Yoni Azhar and Sarno, Riyanarto and Fajar, Aziz},  
booktitle={2020 International Seminar on Application for Technology of Information and Communication (iSemantic)},   
title={Cerebellum and Frontal Lobe Segmentation Based on K-Means Clustering and Morphological Transformation},   
year={2020},  
volume={},  
number={},  
pages={149-154},  
doi={10.1109/iSemantic50169.2020.9234262}}
```

Developed by Asyrofi (c) 2021

## Cara menginstal

instalasi melalui pypi:

    pip install brain_segmen


## Cara menggunakan program

```python
from brainsegmen.segmen import brainSegment
mySegmen = brainSegment()
a = mySegmen.bukadata(data)
```

Check out: https://youtu.be/ZzlAgxbpK4E





