Medical Image Data Annotator
LabelboxBounding Box
Medical data annotation experience included labeling chest X-rays, malaria smears, and cell images to facilitate AI-assisted diagnosis. Responsible for applying bounding boxes, semantic segmentation, and polygon labels to biomedical images using industry-standard tools. Ensured high-quality, accurate annotations to support AI projects in healthcare and medical laboratory domains.
• Used annotation software such as Labelbox, CVAT, and Supervisely on medical images
• Labeled features including cells and abnormalities in X-rays and microscopy images
• Performed semantic segmentation and polygon labeling for medical imaging datasets
• Contributed to data labeling pipelines for diagnostic model training
Medical data annotation experience included labeling chest X-rays, malaria smears, and cell images to facilitate AI-assisted diagnosis. Responsible for applying bounding boxes, semantic segmentation, and polygon labels to biomedical images using industry-standard tools. Ensured high-quality, accurate annotations to support AI projects in healthcare and medical laboratory domains. • Used annotation software such as Labelbox, CVAT, and Supervisely on medical images • Labeled features including cells and abnormalities in X-rays and microscopy images • Performed semantic segmentation and polygon labeling for medical imaging datasets • Contributed to data labeling pipelines for diagnostic model training
Present