Egger et al., 2022 - Google Patents
Medical deep learning—A systematic meta-reviewEgger et al., 2022
View HTML- Document ID
- 8583803483498567053
- Author
- Egger J
- Gsaxner C
- Pepe A
- Pomykala K
- Jonske F
- Kurz M
- Li J
- Kleesiek J
- Publication year
- Publication venue
- Computer methods and programs in biomedicine
External Links
Snippet
Deep learning has remarkably impacted several different scientific disciplines over the last few years. For example, in image processing and analysis, deep learning algorithms were able to outperform other cutting-edge methods. Additionally, deep learning has delivered …
- 238000011160 research 0 abstract description 73
Classifications
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- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G06F19/321—Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
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- G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
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- G—PHYSICS
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- G—PHYSICS
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