Classification_of_brain_tumors_using_MRI_images

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Classification_of_brain_tumors_using_MRI_images

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Classification of brain tumors using MRI images based on pretrained models

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# Classification_of_brain_tumors_using_MRI_images
Classification of brain tumors using MRI images based on pretrained models
 # Brain tumors can have fatal consequences and are often misdiagnosed as malignant and pose a significant threat if not diagnosed quickly. In this article, we examine the methods for brain tumor diagnosis with the help of MIR images.To access the implementation code, use the following link:
 To access the implementation code, use the following link:
 https://colab.research.google.com/drive/1DO4wjyUso5Vs2dsC33H53daku6dhlopH?usp=drive_link
 # Also, to access the resources and MRI images used, refer to the following link:
 https://www.kaggle.com/code/afsananadia/nadia-nova-brain-tumors-mri-project
 https://www.kaggle.com/datasets/mohammadhossein77/brain-tumors-dataset/data
# Codes can be implemented in Python environment. It has been implemented in the Google colb environment for ease of work. numpy, pandas, tensorflow, and matplotlib libraries have been used for implementation. Click on the link below to access the explanation video:
https://drive.google.com/file/d/1BNuOpq6tERppWRnaRB09Iu2pifFaplcw/view?usp=sharing
# Access files to the new article are placed in both Word and PDF format:
https://docs.google.com/document/d/1Hr0NZQf8wsab58wT7CMfuRQto7AkcXVT/edit?usp=drive_link&ouid=109646493304040581459&rtpof=true&sd=true

https://drive.google.com/file/d/115SWk-zPmNZpRQQAgPyLAew_5YfDQrzR/view?usp=drive_link
# Access files to the original article:
https://drive.google.com/file/d/1UT-aCr0yyesFZuuqu6we7RqVFFwsG073/view?usp=drive_link
# Video reading of the original article:
https://drive.google.com/file/d/1U_PyFSVB_YbFLAPK6NUQZv0hSWWE9SzV/view?usp=drive_link
# Access to  plagiarism:
https://drive.google.com/file/d/1AZvJ9txQNkHeSrHYveBnURegMh6QR1HN/view?usp=drive_link

# my email: 
romoozimahdieh@gmail.com

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