Company Filing History:
2 out of 5 
2 out of 42 
2 out of 4 Years Active: 2013
Title: **Innovative Contributions of Antonio Mosquera González in Retinal Image Analysis**
Introduction
Antonio Mosquera González, an inventor based in A Coruña, Spain, is recognized for his significant contributions to the field of medical technology, particularly in retinal image analysis. With a total of two patents under his name, Mosquera González is making strides in enhancing diagnostic methods within ophthalmology.
Latest Patents
His latest inventions focus on a novel "Method, apparatus, and system for automatic retinal image analysis." This innovation encompasses a method implemented in medical systems utilizing processors to streamline the retinal image analysis process. The method incorporates several key steps: locating an optical disk on retinal images, establishing circumferences centered at that disk, detecting vessels using a crease-based algorithm, extracting vessel segments via deformable models (snakes) algorithms, and automatically classifying vessels while computing essential clinical parameters. Notably, it also accounts for measuring vessel calibers and calculating an arteriolar-to-venular ratio, thereby significantly advancing the field.
Career Highlights
Antonio Mosquera González has collaborated with esteemed institutions such as Universidade da Coruña and Universidade de Santiago de Compostela, where he has undoubtedly influenced research development and innovation in medical technology. His role in these institutions has allowed him to push the boundaries of how retinal images are analyzed.
Collaborations
Throughout his career, Mosquera González has worked alongside notable colleagues including Manuel Francisco González Penedo and Antonio Pose Reino. The collaborative efforts have likely contributed to his groundbreaking advancements in retinal image processing, enabling more precise and effective medical analyses.
Conclusion
In summary, Antonio Mosquera González stands out as an innovative inventor in the realm of retinal image analysis, with his recent patents exhibiting profound implications for medical diagnostics. His career reflects a commitment to improving healthcare technology, showcasing the importance of collaboration and innovation within research institutions.