feat: Update pipeline, evaluation, preprocessing, training, explainability, data, models, and utility modules, along with frontend assets, configs, and documentation.

feat: Implement initial deployment setup with Docker, updated models, configurations, and frontend assets.

feat: Implement dynamic clinical highlights in reports and enhance PDF pagination for detailed findings.

feat: Revamp help modal content, enhance PDF report with individual visualization pages, update footer branding, add custom scrollbar styles, and expand gitignore.

feat: Enhance frontend display with improved file name handling, text wrapping, and detailed report generation, while adjusting backend detection thresholds and adding debug logging.

feat: Implement PDF report generation, optimize scan history storage by removing visualization data, and update the analysis pulse UI with a favicon.

feat: Redesign the frontend UI/UX, integrate technical evaluation assets, and refactor the project's HTML structure.

logo change

Remove the "Design Principles" section and its styles from the frontend, update descriptive text

feat: Implement the initial OncoVision-X frontend for CT scan analysis, including HTML, CSS, JavaScript, and assets.

refactor: Streamline end-to-end pipeline for app compatibility, refining NMS and removing explicit classification steps.

refactor: Simplify CT scan visualization layout to a single row

feat: Add `resnet_18_23dataset.pth` pretrained model with LFS tracking and ignore GSD-related files.

feat: Implement initial lung cancer detection system with data processing, malignancy classification, and a Flask web demo.

docs: Update architecture diagram to use Mermaid syntax.