Medical Image Annotation and AI Data Preparation
Worked on AI-related research involving medical imaging data for lung cancer segmentation and classification using deep learning models such as Mask R-CNN and CNN. The project involved reviewing, organizing, and preparing image datasets for model training and evaluation, while ensuring data consistency and accuracy. My responsibilities includes image categorization, annotation support, dataset validation, quality checking, and maintaining proper labeling standards to improve model performance. The work required strong attention to detail, analytical thinking, and the ability to follow structured guidelines when handling sensitive and technical datasets.