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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:

  • 224ร—224

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.

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