v1.8.0

What's Changed

Major Improvements

1. Configuration Management

• Added new configuration variables HOST_CONNECT and PORT_CONNECT for improved server settings flexibility
• Enhanced file naming logic in call_model.py to support dynamic file types based on configuration

2. Performance & Processing

• Improved attention score processing with reversed indexing for predicted filenames
• Enhanced image ranking logic with better intensity metrics
• Streamlined attention score calculations in rank_images_by_attention function

3. Code Organization & Architecture

• Restructured import statements and enhanced function documentation
• Introduced new visualization utility module for attention overlay and image saving
• Improved code organization and readability in call_model.py

4. Error Handling & Logging

• Enhanced error handling in the prediction workflow
• Improved logging for DICOM file-saving operations
• Better error reporting in overlay image handling

5. Visualization & Output

• Refined overlay image handling in routes.py
• Updated visualization configuration usage for consistency
• Enhanced attention overlay visualization

6. API & Integration

• Added API endpoints for result upload
• Improved server connectivity and configuration
• Enhanced DICOM metadata handling

Technical Details

• Updated default attention threshold for improved numerical stability
• Streamlined visualization process
• Enhanced documentation and code clarity
• Improved error handling and logging throughout the application
• Better organization of code structure and modularity

These changes represent significant code quality, performance, and maintainability improvements while adding new features and enhancing existing functionality.

Full Changelog: v1.7.1-alpha...v1.8.0