This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Other. Active years: 2025.
Company Filing History:
1 out of 834,411 Years Active: 2025
Title: Guoying Bai: Innovator in Early Gastrointestinal Cancer Diagnosis
Introduction
Guoying Bai is a notable inventor based in Chongqing, China. He has made significant contributions to the field of medical technology, particularly in the early diagnosis of gastrointestinal cancer. His innovative approach combines deep learning techniques with medical imaging to enhance diagnostic accuracy.
Latest Patents
Guoying Bai holds a patent for a "Deep learning based auxiliary diagnosis system for early gastrointestinal cancer and inspection device." This system comprises a feature extraction network, an image classification model, an endoscope classifier, and an early cancer recognition model. The feature extraction network performs initial feature extraction on endoscope images using a neural network model. The image classification model extracts features to acquire image classification characteristics. The endoscope classifier classifies gastroscope and colonoscope images, while the early cancer recognition model integrates various features to determine the probability of early cancer lesions in different imaging modalities.
Career Highlights
Throughout his career, Guoying Bai has demonstrated a commitment to advancing medical technology. His work has focused on improving diagnostic systems that can lead to earlier detection of gastrointestinal cancers, which is crucial for effective treatment and patient outcomes. He has been recognized for his innovative contributions to the field.
Collaborations
Guoying Bai has collaborated with notable individuals in his field, including Guohua Wang and Ran Wang. These collaborations have likely contributed to the development and refinement of his innovative diagnostic systems.
Conclusion
Guoying Bai's work in developing a deep learning-based diagnostic system for early gastrointestinal cancer exemplifies the intersection of technology and healthcare. His contributions are paving the way for more effective diagnostic tools that can significantly impact patient care.