This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Ping an Technology (Shenzhen) Co., Ltd.. Active years: 2023.
Company Filing History:
Years Active: 2023
Title: Innovations in Medical Imaging by Xiaoyun Zhou
Introduction
Xiaoyun Zhou is an accomplished inventor based in Bethesda, MD (US). She has made significant contributions to the field of medical imaging, particularly in the area of fracture detection in chest X-rays. Her innovative approach combines advanced machine learning techniques with medical imaging to enhance diagnostic accuracy.
Latest Patents
Xiaoyun Zhou holds a patent titled "Knowledge distillation with adaptive asymmetric label sharpening for semi-supervised fracture detection in chest x-rays." This patent describes a knowledge distillation method for fracture detection that involves obtaining medical images, including region-level labeled images, image-level diagnostic positive images, and image-level diagnostic negative images in chest X-rays. The process includes a supervised pre-training phase on the region-level labeled images and image-level diagnostic negative images to train a neural network, followed by a semi-supervised training process on the image-level diagnostic positive images using pre-trained weights. A teacher model is utilized to generate pseudo ground-truths (GTs) for supervising the training of a student model, with the pseudo GTs processed by an adaptive asymmetric label sharpening (AALS) operator to enhance detection responses.
Career Highlights
Xiaoyun Zhou is currently employed at Ping An Technology (Shenzhen) Co., Ltd., where she continues to develop innovative solutions in medical imaging. Her work has garnered attention for its potential to improve diagnostic processes and patient outcomes.
Collaborations
Xiaoyun collaborates with talented individuals in her field, including Yirui Wang and Kang Zheng. Their combined expertise contributes to the advancement of technology in medical imaging.
Conclusion
Xiaoyun Zhou's contributions to the field of medical imaging through her innovative patent demonstrate her commitment to enhancing diagnostic capabilities. Her work is paving the way for more accurate and efficient medical assessments.