Experimental Thesis: Preprocessing open source dataset for synthetic CT generation
Medical DicomSegmentation
During my experimental thesis, I worked on preprocessing an open source dataset for the generation of synthetic CT images from MRI. The project involved constructing a dataset for automatic quality control using Deep Learning techniques applied to the brain region. Tasks included applying segmentation methods and data curation to build high-quality training data for medical imaging models.
• Preprocessed MRI brain images for synthetic CT generation
• Applied segmentation and labeling using Deep Learning tools
• Ensured data quality and accuracy for model training
• Documented the dataset construction process for reproducibility
During my experimental thesis, I worked on preprocessing an open source dataset for the generation of synthetic CT images from MRI. The project involved constructing a dataset for automatic quality control using Deep Learning techniques applied to the brain region. Tasks included applying segmentation methods and data curation to build high-quality training data for medical imaging models. • Preprocessed MRI brain images for synthetic CT generation • Applied segmentation and labeling using Deep Learning tools • Ensured data quality and accuracy for model training • Documented the dataset construction process for reproducibility
2025 - 2025