This inventor holds 2 USPTO granted patents. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2014-2015.
Location History:
- London, GB (2014)
- Reading, GB (2015)
Company Filing History:
Years Active: 2014-2015
Title: Innovations in Medical Imaging by Abdel Douiri
Introduction
Abdel Douiri is a notable inventor based in Reading, GB. He has made significant contributions to the field of medical imaging, particularly in the detection and characterization of lesions in three-dimensional digital medical images. With a total of 2 patents, his work has the potential to enhance diagnostic accuracy in medical practices.
Latest Patents
Abdel Douiri's latest patents include a system and method for the detection of lesions in three-dimensional digital medical images. This innovative system involves determining third-order derivatives of the medical image at various points. By identifying invariant or semi-invariant features that characterize local geometry, the system facilitates the automatic detection of lesions and abnormalities. His second patent focuses on medical image segmentation, which employs a clustering method that combines spatial, intensity, and volumetric shape index to automatically segment medical lesions. This algorithm enhances the segmentation process by utilizing a modified expectation-maximization algorithm that considers both spatial and shape features.
Career Highlights
Abdel Douiri is currently associated with Samsung Electronics Co., Ltd., where he continues to develop cutting-edge technologies in medical imaging. His work is instrumental in advancing the capabilities of medical diagnostics through innovative imaging techniques.
Collaborations
Abdel Douiri has collaborated with notable professionals in his field, including Xujiong Ye and Gregory Gibran Slabaugh. These collaborations have contributed to the development of his patents and the advancement of medical imaging technologies.
Conclusion
Abdel Douiri's contributions to medical imaging through his patents demonstrate his commitment to improving healthcare technology. His innovative approaches in detecting and segmenting lesions are paving the way for more accurate medical diagnoses.