Matching network for medical image analysis

The present disclosure is directed to an apparatus and method for data analysis for use in data classification via training of a recurrent neural network to identify features from limited reference sets. Based on a one-shot learning algorithm, the method includes selecting a subset of reference data...

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Bibliographische Detailangaben
Hauptverfasser:	Lisowska, Aneta, Dilys, Vismantas
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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Beschreibung
Zusammenfassung:	The present disclosure is directed to an apparatus and method for data analysis for use in data classification via training of a recurrent neural network to identify features from limited reference sets. Based on a one-shot learning algorithm, the method includes selecting a subset of reference data and training a classifier with the selected data. This small subset of reference data can be iteratively tuned to enhance classification of the data according to the desired output of the method. The apparatus may be configured to allow a user to interactively select a subset of reference data which is used to train the classifier and to evaluate classifier performance.