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Application of an artificial neural network in radiographic diagnosis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf03168011openalex-snapshot
Problems in applying expert system technology to Radiographic Image Interpretation
inferredcites →https://doi.org/10.1055/s-0038-1635358openalex-snapshot
An Overview of Medical Expert Systems
inferredcites →https://doi.org/10.1109/massp.1987.1165576openalex-snapshot
An introduction to computing with neural nets
inferredcites →https://doi.org/10.1148/80.2.273openalex-snapshot
Computer Diagnosis of Primary Bone Tumors
inferredcites →https://doi.org/10.1148/radiology.168.1.18openalex-snapshot
Radiologic-Pathologic Correlation of Musculoskeletal Lesions
inferredcites →https://doi.org/10.1148/radiology.172.2.2664871openalex-snapshot
Expert system-controlled image display.
inferredcites →https://doi.org/10.1148/radiology.177.3.2244001openalex-snapshot
Potential usefulness of an artificial neural network for differential diagnosis of interstitial lung diseases: pilot study.
inferredcites →https://doi.org/10.5860/choice.26-6311openalex-snapshot
Adaptive pattern recognition and neural networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology
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A feed forward neural network for classification of bull's-eye myocardial perfusion images
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Using an artificial neural network to diagnose hepatic masses
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The power of knowledge in radiologic education and decision making
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The prospect of expert system—Based cognitive support as a by-product of image acquisition and reporting
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Artificial Intelligence and Machine Learning Applications in Musculoskeletal Imaging
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A neural network to analyze fertility data
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DECISION AIDS IN RADIOLOGY
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Bone Browser a decision-aid for the radiological diagnosis of bone tumors
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The effect of training and experience on the magnetic resonance imaging interpretation of meniscal tears
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Texture analysis of breast tumors on sonograms
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Artificial neural networks for screening patients needing emergency cranial computed tomography scans in emergency departments
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Focal Calvarial Bone Lesions
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Prediction of Rib Fracture Injury Outcome by an Artificial Neural Network
inferred← citeshttps://doi.org/10.1097/corr.0000000000001360openalex-snapshot
Does Artificial Intelligence Outperform Natural Intelligence in Interpreting Musculoskeletal Radiological Studies? A Systematic Review
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A neural network to diagnose liver cancer
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Computer-aided diagnosis of breast cancer using artificial neural networks: comparison of backpropagation and genetic algorithms
inferred← citeshttps://doi.org/10.1111/j.1365-2133.1994.tb03378.xopenalex-snapshot
Application of an artificial neural network in epiluminescence microscopy pattern analysis of pigmented skin lesions: a pilot study
inferred← citeshttps://doi.org/10.1148/radiographics.14.4.7938772openalex-snapshot
Artificial intelligence in radiology: decision support systems.
inferred← citeshttps://doi.org/10.1177/146045820000600209openalex-snapshot
Research in medical informatics
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Identification of a hypoperfused segment in bull's-eye myocardial perfusion images using a feed forward neural network
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Automatic Objective Diagnosis of Lymph Nodal Disease by B-Mode Images From Convex-Type Echobronchoscopy
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Usefulness of an Artificial Neural Network for Differentiating Benign from Malignant Pulmonary Nodules on High-Resolution CT
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Artificial intelligence in musculoskeletal oncological radiology
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Artificial Neural Networks: Implications for Pharmaceutical Sciences
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