YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
BreastMNIST ResNet18 with Grad-CAM
Overview
This repository contains a fine-tuned ResNet18 model for binary breast ultrasound image classification using the BreastMNIST dataset from MedMNIST.
The project demonstrates:
- Transfer Learning
- Medical Image Classification
- Explainable AI (Grad-CAM)
- Error Analysis
Dataset
BreastMNIST (MedMNIST v2)
Task: Binary Classification
Classes
- 0 โ Benign
- 1 โ Malignant
Model
Architecture:
- ResNet18
Framework:
- PyTorch
Input Size:
- 224ร224
Output:
- Binary Classification
Explainability
Grad-CAM visualizations are included in the GitHub repository.
GitHub Repository
https://github.com/J-Aamir/BreastMNIST-ResNet18-GradCAM
Intended Use
Educational and research purposes only.
Not intended for clinical diagnosis.
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support