2021 HIKM – Classifying infective keratitis using a deep learning approach
Shelda Sajeev received PhD degree in Medical Image Analysis and machine learning from Flinders University, Adelaide, Australia in 2019. She received Flinders University Impact Seed Funding for Early Career Researchers (2019). She is also winner of Australian Postgraduate Award, Student Research Fellowship award funded by National Cancer Institute, United States (2016), Elaine Martin Travel Grant (2016), 3 Minute Thesis Competition (CSEM, Flinders University, 2016). Her research interests include pattern recognition, image processing, medical image analysis, data analysis and machine learning.