Chapter 1: Introduction
This thesis examines machine learning applications in diagnostic imaging.

Chapter 2: Literature Review
CNNs have achieved 94% accuracy in tumor detection (Smith et al., 2023).
Transfer learning approaches show promise for medical imaging (Jones, 2024).

Chapter 3: Methodology
We propose a hybrid CNN-Transformer architecture with 12 attention heads.
Training uses the MIMIC-CXR dataset with data augmentation.
