Company Filing History:
2 out of 138 
2 out of 867 
Years Active: 2019-2023
Title: Innovations of Miaofei Han
Introduction
Miaofei Han is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of image segmentation, holding a total of four patents. His work focuses on developing advanced systems and methods that enhance image processing capabilities.
Latest Patents
Miaofei Han's latest patents include innovative systems for image segmentation. One such system is designed to obtain a target image that includes a region of interest (ROI). The system segments a preliminary region representative of the ROI from the target image using a first ROI segmentation model that corresponds to a first image resolution. Subsequently, it segments a target region representative of the ROI from the preliminary region using a second ROI segmentation model that corresponds to a second image resolution. Notably, at least one model of the first and second ROI segmentation models includes a first convolutional layer and a second convolutional layer downstream from the first convolutional layer. The count of input channels of the first convolutional layer is greater than the count of output channels, while the count of input channels of the second convolutional layer is smaller than the count of output channels.
Career Highlights
Miaofei Han has worked with notable companies such as Shanghai United Imaging Intelligence Co., Ltd. and Shanghai United Imaging Healthcare Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge technologies in imaging.
Collaborations
Miaofei has collaborated with talented individuals in his field, including Yu Zhang and Yaozong Gao. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.
Conclusion
Miaofei Han is a distinguished inventor whose work in image segmentation has led to significant advancements in the field. His patents reflect a deep understanding of complex imaging systems and contribute to the ongoing evolution of technology in this area.
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