On Demand Webinar

Deep Learning Models in Preclinical Histopathology Image Analysis

In the intricate world of histopathology, where images are often stained by methods like H&E, pathologists face the painstaking task of manually delineating features such as tumors, necrosis, and red blood cells. This manual process is not just time-intensive but can also yield approximate results. Fortunately, the rapid advancements in artificial intelligence offer a transformative solution, streamlining the way we analyze and interpret these complex images. At Crown Bioscience, we're pioneering the use of AI in the classification and segmentation of histopathology images.

Watch Now

In this webinar, you'll discover:

• Redefining Analysis: The pivotal reasons behind our pursuit of deep model-based solutions in histopathology image analysis.
  
  
• Behind Our Breakthrough: An in-depth overview of our groundbreaking project focused on histopathology image segmentation using deep models.
  
  
• Achieving Precision: Insights into the remarkable performance, accuracy, and benefits brought about by our innovative approach.

Watch Now!

About The Presenter:

Yawen Zheng, PhD, Scientist, Data Science, and Bioinformatics at Crown Bioscience

Dr. Yawen Zheng began her academic journey at Wuhan University, where she earned her undergraduate degree. She then furthered her education at Beijing Normal University, attaining a Ph.D. in Engineering with a focus on Computer Application Technology. In 2022, Dr. Zheng joined Crown Bioscience, where she now specializes as a Scientist in Data Science and Bioinformatics. Her research is at the forefront of medical imaging, delving into image classification, detection, and segmentation using deep learning and machine learning techniques. Dr. Zheng also has a keen interest in the development of related web platforms.