Machine Learning Project Manager
• Implement deep learning and image segmentation and identification for coronary angiography images, to automatically compute its SYNTAX Score to reduce processing time during surgery for 30% or 50%.• Solved SYNTAX Score decision tree to create code.• Wrote 20+ pages computer vision annotation rules for data used for training in segmentation of coronary arteries and lesions classification for 30+ medical professions.• Collect 15000+ DSA files ready for annotation from 24000+ DICOM documents from the hospital archive system and set up rules for DSA file selection. Analyze the ready-for-use DSA file distribution properties to form better artery and lesion annotation rules.• Combined medical knowledge with computer vision technology to develop and optimize image processing algorithms, designing and implementing algorithms using Python, leveraging experience in Linux environment to accelerate project deployment.