Imagine accelerating the diagnosis of nearly every disease, from lung cancer and heart conditions to rare genetic disorders. This project focuses on automating nuclei detection in microscopic images, a critical step in many medical diagnoses.
To tackle this problem, I used the UNet architecture, a powerful deep learning model specifically designed for biomedical image segmentation.
Below is an illustration of the UNet model that I implemented in this project. You can find the source code for the network in the files above.
https://drive.google.com/file/d/18ldQQnPeNre23hJSgLZvHAzSlV0i3v-q/view?usp=sharing
https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/
https://www.kaggle.com/c/data-science-bowl-2018/overview