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This project firstly aims to classify brain CT images using convolutional neural networks. In the second stage, the task is segmentation with Unet.

License: MIT License

Python 3.31% Jupyter Notebook 96.69%
detection segmentation artifiical-intelligence convolutional-neural-networks deep-learning brain-stroke-lesion-segmentation medical-image-processing dicom-images object-detection tensorflow

brainctimagestrokedetection-segmentation's Introduction

Hi 👋, I'm Yılmaz

EEE Student and Data Science Researcher from METU in Turkey

Connect with me:

yilmaz-guney-ai emirhan-y%c4%b1lmaz-g%c3%bcney emirhanyilmazguney ucbz90epiy0y-zk2uhbrmywa emirhanyilmazgu1

Languages and Tools:

arduino c cplusplus css3 git html5 java javascript linux matlab opencv python pytorch tensorflow

yilmaz0734

 yilmaz0734

yilmaz0734

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brainctimagestrokedetection-segmentation's Issues

Dataset Acquisition

I wonder know that where I can get the dataset in this project, I try to search Teknofest2021-AI in Medicine but get nothing data. Could you please attach the Download link?

help

Hello, I have logged in to the website of Teknofest2021-AI in Medicine competition, but the data set seems to be closed. I kindly ask you to share this data set with me, thank you!

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