Building TumorLensB0: Brain Tumor Detection Web App Using EfficientNet-B0 and Streamlit
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
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.
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.