Patent EP2024193719A1: Compressive Imaging Method Deep Learning
Summary
The European Patent Office has published patent application EP2024193719A1 concerning a compressive imaging method based on deep learning for spectral and spatial domain joint sub-sampling. This publication details a novel approach to medical imaging techniques.
What changed
The European Patent Office (EPO) has published patent application EP2024193719A1, titled "SS-OCT COMPRESSIVE IMAGING METHOD BASED ON DEEP LEARNING AND SPECTRAL DOMAIN AND SPATIAL DOMAIN JOINT SUB-SAMPLING." This application, published on March 18, 2026, outlines a method for compressive imaging using deep learning techniques, specifically focusing on joint sub-sampling in both spectral and spatial domains within Optical Coherence Tomography (OCT).
This publication represents a new patent filing and does not impose immediate compliance obligations on regulated entities. However, it signals advancements in medical imaging technology that may influence future product development and regulatory considerations for diagnostic and surgical equipment. Companies involved in developing or utilizing advanced imaging systems should be aware of this technological development.
Source document (simplified)
SS-OCT COMPRESSIVE IMAGING METHOD BASED ON DEEP LEARNING AND SPECTRAL DOMAIN AND SPATIAL DOMAIN JOINT SUB-SAMPLING
Publication EP2024193719A1 Kind: A1 Mar 18, 2026
Inventors
The designation of the inventor has not yet been filed
IPC Classifications
G06T 11/00 20060101AFI20240927BHEP G06N 3/0464 20230101ALI20240927BHEP A61B 5/00 20060101ALI20240927BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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