San Jose, CA, United States of America

Bi Song


 

Average Co-Inventor Count = 2.6

ph-index = 2

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2016-2024

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12 patents (USPTO):Explore Patents

Title: Bi Song: Innovator in Digital Pathology

Introduction

Bi Song is a prominent inventor based in San Jose, CA, known for his significant contributions to the field of digital pathology. With a total of 12 patents to his name, he has developed innovative methods that enhance the accuracy and efficiency of tumor detection and analysis.

Latest Patents

One of Bi Song's latest patents is titled "Automatic estimation of tumor cellularity using a DPI AI platform." This method involves automatically estimating cellularity in a digital pathology slide image by extracting patches of interest and classifying them using a trained deep convolutional neural network (DCNN). The process includes determining an estimated cellularity score for suspect patches and combining these scores to provide an overall estimate for the slide image. Another notable patent is "Tumor detection and segmentation for DPI AI platform routes." This method accepts a Whole Slide Image (WSI) and creates a lower resolution version to apply an adaptive thresholding technique. It generates a background removal mask and uses machine learning systems to create heat maps and segment patches, effectively outlining clusters of tumor cells.

Career Highlights

Bi Song has worked with renowned companies such as Sony Corporation and Sony Group Corporation, where he has honed his skills in digital pathology and artificial intelligence. His work has significantly impacted the way tumors are detected and analyzed in medical settings.

Collaborations

Throughout his career, Bi Song has collaborated with talented individuals, including Ming-Chang Liu and Ko-Kai Albert Huang. These partnerships have fostered innovation and contributed to the advancement of technology in the medical field.

Conclusion

Bi Song's innovative work in digital pathology exemplifies the intersection of technology and healthcare. His patents and collaborations continue to pave the way for advancements in tumor detection and analysis, making a lasting impact on the medical community.

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