Independent Researcher (ML Collective) — Medical Image Classification Labeling
During my tenure as an Independent Researcher at ML Collective, I built a few-shot learning model to classify various diseases from limited blood smear image data. I labeled and prepared datasets to enable robust disease diagnosis models in medical imaging. My responsibilities involved close attention to image classification accuracy and effective data structuring. • Labeled blood smear images for multi-disease classification training purposes. • Prepared and cleaned medical image datasets for model input. • Evaluated image-based diagnosis models using annotated data. • Enhanced dataset balance and class distributions through careful labeling.