Taichung, Taiwan

Wen-Cheng Chao


Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Wen-Cheng Chao: Innovator in Respiratory Classification Technologies

Introduction

Wen-Cheng Chao is an accomplished inventor based in Taichung, Taiwan. Known for his innovative approaches to medical technologies, Chao has made significant contributions to the field of respiratory health. With one notable patent to his name, he continues to push the boundaries of how we classify and understand respiratory conditions.

Latest Patents

Chao's patent, titled "Respiratory Status Classifying Method and System Thereof," introduces a comprehensive approach for classifying respiratory statuses. The method encompasses several key steps, including inputting physiological parameters and chest images, generating characteristic parameters and images, and utilizing machine learning algorithms for training classifiers. Through processing original chest images, the invention effectively segments the left lung, right lung, and heart for enhanced analysis, ultimately producing characteristic chest images that aid in accurate classification.

Career Highlights

Wen-Cheng Chao has worked at reputable institutions such as Taichung Veterans General Hospital and Tunghai University. His experiences at these establishments have provided him with a solid foundation in both clinical practice and academic research, further fueling his innovative spirit in the areas of medical technology and diagnostics.

Collaborations

Throughout his career, Chao has collaborated with notable professionals in his field, including Ming-Cheng Chan and Kai-Chih Pai. Their joint efforts have fostered a productive environment for advancing healthcare technologies, particularly within the respiratory domain.

Conclusion

Wen-Cheng Chao's dedication to improving respiratory health through innovative classification methods exemplifies the important role of inventors in the medical field. As he continues to work on advancements in this area, his contributions promise to improve diagnostic accuracy and patient outcomes in respiratory medicine.

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