METHODS OF SYSTEMS OF GENERATING VIRTUAL MULTI-DIMENSIONAL MODELS USING IMAGE ANALYSIS

The present approach relates to the use of trained artificial neural networks, such as convolutional neural networks, to classify vascular structures, such as using a hierarchical classification scheme. In certain approaches, the artificial neural network is trained using training data that is all o...

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Bibliographische Detailangaben
Hauptverfasser:	Chowdhury, Aritra, Marino, Michael Ernest, Li, Qing, Dylov, Dmitry V, Meyer, Daniel Eugene, Santamaria-Pang, Alberto
Format:	Patent
Sprache:	eng
Schlagworte:	ADVERTISING APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING CRYPTOGRAPHY DIAGRAMS DISPLAY EDUCATION EDUCATIONAL OR DEMONSTRATION APPLIANCES ELECTRIC DIGITAL DATA PROCESSING GLOBES IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PLANETARIA SEALS
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Beschreibung
Zusammenfassung:	The present approach relates to the use of trained artificial neural networks, such as convolutional neural networks, to classify vascular structures, such as using a hierarchical classification scheme. In certain approaches, the artificial neural network is trained using training data that is all or partly derived from synthetic vascular representations.