Data Labeling for Automated Image Segmentation in Cardiovascular Imaging Research
ImageSegmentation
Created and implemented machine learning models for automated biomedical image segmentation and classification. Labeled cardiovascular medical images to train and validate segmentation models using Python and MATLAB. Organized and annotated datasets for deep learning research in mouse models of cardiovascular disease.
• Developed custom pipelines for high-frequency ultrasound and MRI data.
• Utilized manual and semi-automated segmentation tools for training datasets.
• Verified model performance and annotated edge cases for accuracy.
• Collaborated with domain experts to ensure correct labeling of biomedical imagery.
Created and implemented machine learning models for automated biomedical image segmentation and classification. Labeled cardiovascular medical images to train and validate segmentation models using Python and MATLAB. Organized and annotated datasets for deep learning research in mouse models of cardiovascular disease. • Developed custom pipelines for high-frequency ultrasound and MRI data. • Utilized manual and semi-automated segmentation tools for training datasets. • Verified model performance and annotated edge cases for accuracy. • Collaborated with domain experts to ensure correct labeling of biomedical imagery.
2019 - 2024