I have transformed the TumorLensB0 model (transfer learning based on EfficientNet-B0), which I developed, into a web application working with a Streamlit interface. 💻🚀
This computer vision model, which I developed using the Python TensorFlow library, analyzes brain tomography (MRI) images and classifies them into 4 different classes: Meningioma, Glioma, Pituitary Tumor, and No Tumor.
The 4 photos I left below show the model's process of accurately identifying tumor types in different tomography images. You can access the source codes of the project and the Kaggle model page below.