Brain Segmentation
| Author | Rakha Asyrofi |
|---|---|
| Version | 0.0.1 |
| Updated | 2021-09-12 |
Overview
Click this link to see live demo If you want to see
Cerebellum and Frontal Lobe Segmentation Based on K-Means Clustering and Morphological Transformation described in our paper at iSemantic2020. Please kindly cite the following paper when you use this tool. It would also be appreciated if you send me a courtesy website and google scholar, 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
from brainsegmen.segmen import brainSegment
mySegmen = brainSegment()
a = mySegmen.bukadata(data)
Check out: https://youtu.be/ZzlAgxbpK4E
Release files for brain-segmen 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| brain_segmen-0.0.2.tar.gz | 5.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| brain_segmen-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.1 kB
Release files / brain_segmen-0.0.2.tar.gz
| Download URL | brain_segmen-0.0.2.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.9
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Release files / brain_segmen-0.0.2-py3-none-any.whl
| Download URL | brain_segmen-0.0.2-py3-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.9
|