18524542. SEQUENTIAL TRANSMISSION OF COMPRESSED MEDICAL IMAGE DATA simplified abstract (KONINKLIJKE PHILIPS N.V.)
Contents
- 1 SEQUENTIAL TRANSMISSION OF COMPRESSED MEDICAL IMAGE DATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SEQUENTIAL TRANSMISSION OF COMPRESSED MEDICAL IMAGE DATA - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
SEQUENTIAL TRANSMISSION OF COMPRESSED MEDICAL IMAGE DATA
Organization Name
Inventor(s)
Steffen Renisch of HAMBURG (DE)
SEQUENTIAL TRANSMISSION OF COMPRESSED MEDICAL IMAGE DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18524542 titled 'SEQUENTIAL TRANSMISSION OF COMPRESSED MEDICAL IMAGE DATA
Simplified Explanation
The application describes various embodiments of a medical system, a computer program, and a method related to sequential transmission of compressed medical image data.
- Medical system comprising a local memory storing local machine executable instructions and a local computational system.
- Receive a feature vector descriptive of medical image data, input into a decoder neural network to output an approximation of the medical image data.
- Sequentially transmit portions of the feature vector to a remote computational system via a network connection, with higher importance portions transmitted first.
Potential Applications
This technology could be applied in telemedicine, remote diagnostics, and medical imaging systems.
Problems Solved
This technology solves the problem of efficiently transmitting compressed medical image data over networks while prioritizing important information.
Benefits
The benefits of this technology include faster transmission of medical image data, reduced network bandwidth usage, and improved remote diagnostic capabilities.
Potential Commercial Applications
A potential commercial application of this technology could be in telemedicine platforms for remote consultations and diagnostics.
Possible Prior Art
One possible prior art could be the use of neural networks for image compression and transmission in the field of medical imaging.
Unanswered Questions
How does this technology compare to existing methods of transmitting medical image data?
This article does not provide a direct comparison with existing methods of transmitting medical image data.
What are the potential limitations or challenges in implementing this technology in real-world medical systems?
This article does not address the potential limitations or challenges in implementing this technology in real-world medical systems.
Original Abstract Submitted
The application describes various embodiments of a medical system, a computer program, and a method related to sequential transmission of compressed medical image data. As an example, a medical system comprising a local memory storing local machine executable instructions and a local computational system. Execution of the machine executable instructions further causes the computational system to: receive a feature vector descriptive of medical image data, wherein the feature vector is configured to be input into a decoder neural network, wherein the decoder neural network is configured to output an approximation of the medical image data when receiving at least a part of the feature vector as input, wherein the feature vector comprises a ranking assigning an importance to elements of the feature vector; and sequentially transmit portions of the feature vector to a remote computational system via a network connection, wherein the portions of the features vector with a higher importance are transmitted first.
