Identifying Brain Tumor from MRI images using FastAI -DynamicUnet
To use FASTAI unet learner to identify tumours from MRI of Brain, logging loss metrics in Neptune AI logger and compare the results after hyperparameter ...
fastai image-segmentation pytorch deep-learning neptune-ai computer-vision segmentation article code

The objective of this project is to explore the use of Dynamic UNet architecture of FastAI to identify brain tumor from MRI images and to log various loss parameters in Neptune AI logger to do a comparative analysis between the performance of the model basis hyper-parameter tuning. The project will explore the architecture of Dynamic UNet architecture used in detail and will also explore how Neptune AI can be used for easy and organised tracking of various loss matrices and to do easy comparisons between various model performances after hyper-parameter tuning.

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I am a data science enthusiast who is highly passionate about using data sciences in solving real world problems.
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