Deep Learning for Metastatic Tissue Detection in histopathological images

Utilized CNNs and transfer learning for accurate image classification.

Tools Used: Python, TensorFlow/Keras, NumPy, Matplotlib, scikit-learn

The model outperformed the benchmark, demonstrating robustness for medical applications with limited data. (AUC: 98.4% (vs. benchmark 96.3%).)