Classification by means of recordings
AssigneeSiemens Healthcare GmbH
InventorsXavier Battle, Philipp Hoelzer, Bernhard Schmidt, Grzegorz Soza
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Abstract
A method is for classifying an examination object by way of recordings. In an embodiment, the method includes capturing at least one optical recording of the examination object; determining and quantifying a number of defined characteristics of the examination object based upon an analysis of the optical recordings with the aid of a machine learning method; and affecting the classification of the examination object in respect of a classification criterion, based upon the quantified characteristics with the aid of a machine learning method. Also described are a classification entity and a medical imaging modality.
Claims26
A method for classifying an examination object by way of recordings, comprising:
- capturing at least one optical recording of the examination object;
- determining a number of characteristics of the examination object and quantifying the number of characteristics determined, based upon an analysis of the at least one optical recording, with aid of a first machine learning method;
- and
- classifying the examination object, with respect to a classification criterion, based upon the quantified number of characteristics, with aid of at least one of the first machine learning method and a second machine learning method.
A classification entity for classifying an examination object by way of recordings, comprising
- a camera, designed to capture optical recordings of the examination object;
- and
- at least one processor,
- designed to determine and quantify characteristics of the examination object based upon an analysis of the optical recordings captured by the camera, with aid of a first machine learning method, and
- designed to classify the examination object with respect to a classification criterion, based upon the characteristics quantified, with aid of at least one of the first machine learning method and a second machine learning method.
A method for classifying an examination object by way of recordings, comprising:
- capturing at least one optical recording of the examination object;
- capturing, by a medical imaging modality, at least one medical imaging data of an interior of the examination object;
- determining a number of characteristics of the examination object and quantifying the number of characteristics determined, based upon an analysis of the at least one optical recording and the at least one medical imaging data, with aid of a first machine learning method;
- and
- classifying the examination object, with respect to a classification criterion, based upon the quantified number of characteristics, with aid of at least one of the first machine learning method and a second machine learning method.
A method for classifying an examination object by way of recordings, comprising:
- capturing at least one optical recording of the examination object;
- capturing, by a computed tomography device, at least one medical computed tomography imaging data of an interior of the examination object;
- determining a number of characteristics of the examination object and quantifying the number of characteristics determined, based upon an analysis of the at least one optical recording and the at least one medical computed tomography imaging data, with aid of a first machine learning method;
- and
- classifying the examination object, with respect to a classification criterion, based upon the quantified number of characteristics, with aid of at least one of the first machine learning method and a second machine learning method.
Dependencies are inferred from the claim text.