Company Filing History:
Years Active: 2022
Title: Haomin Chen: Innovator in Computer-Aided Diagnosis
Introduction
Haomin Chen is a distinguished inventor based in Bethesda, MD, USA, recognized for his significant contributions to the field of medical imaging and diagnostics. With an innovative mind and a commitment to improving healthcare, Chen has developed a technology that enhances the diagnostic process through the use of advanced algorithms and methodologies.
Latest Patents
Haomin Chen holds one patent titled "Device and method for computer-aided diagnosis based on image." This groundbreaking invention outlines a comprehensive method for performing computer-aided diagnosis (CAD) based on medical scan images. The process involves pre-processing the medical scan image to produce input and flipped images, along with corresponding spatial alignment transformations. Chen’s approach employs Siamese encoding to generate encoded feature maps that facilitate accurate diagnostics. Ultimately, this technology aids in identifying the presence and locations of anatomical abnormalities in medical scan images.
Career Highlights
Chen's career is marked by his role at Ping An Technology (Shenzhen) Co., Ltd., a leading company in the field of technology and innovation. His expertise in computer-aided diagnosis underscores his commitment to leveraging technology for better healthcare outcomes. Through his work, he continues to push the boundaries of what is possible in medical diagnostics.
Collaborations
Throughout his career, Haomin Chen has collaborated with talented individuals such as Yirui Wang and Kang Zheng. Together, they explore innovative solutions in medical imaging, enhancing the potential for breakthroughs in diagnosis and treatment.
Conclusion
Haomin Chen exemplifies innovation in the healthcare technology sector through his patent and work at Ping An Technology. His contributions demonstrate the impact of technology in improving diagnostic accuracy and ultimately patient care. As a visionary inventor, Chen continues to inspire and lead advancements in the field of computer-aided diagnosis.