This project utilizes InceptionResNetV2 for brain tumor classification. Trained on a curated dataset, the model distinguishes between tumor and non-tumor brain images. With GPU acceleration, it ensures efficient training, and results are presented through metrics, graphs, and random image predictions. A valuable tool for medical image analysis. 🌐�
This repository accompanies our research paper and includes all the essential files that support our findings on fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification
Pothole Detection Using Transfer Learning Models: A Comparative Study
Comparing InceptionResNetV2, NASNet, and EfficientNet for Image Classification & Segmentation
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