“Statistical Inference for Neural Network-based Image Segmentation”
Friday March 10, 2023 | Time 11:30am CET
Although a vast body of literature relates to image segmentation methods that use deep neural networks (DNNs), less attention has been paid to assessing the statistical reliability of segmentation results. In the absence of statistical reliability, it is difficult to manage the risk of obtaining incorrect segmentation results, which might be harmful when they are used in high-stakes decision-making, such as medical diagnoses or automatic driving. In this talk, I will interpret the segmentation results as hypotheses driven by DNN (called DNN-driven hypotheses) and introduce a method to quantify the reliability of these hypotheses within a statistical hypothesis testing framework.
Vo Nguyen Le Duy is a postdoctoral researcher at RIKEN-AIP, working under the supervision of Prof. Ichiro Takeuchi. He received his B.S. degree from Danang University of Science and Technology, Vietnam in 2017, followed by his M.S. degree and Ph.D. degree from Nagoya Institute of Technology, Japan in 2020 and 2022, respectively. His research interest is developing reliable artificial intelligence systems.