Computer-aided image analysis
First Claim
1. A method for automated analysis of a digitized microscope image of a medical specimen having a plurality of features of interest, the method comprising:
- storing a plurality of detection subsystems in a memory device in communication with a processor, wherein each of the plurality of detection subsystems comprises a pre-processing component for detecting and extracting one of the features of interest within the microscope image, a classification component comprising at least one first-level support vector machine for classifying the extracted feature of interest into at least one of a plurality of possible feature classes, an output for outputting the classified feature of interest, and an overall analyzer for combining the outputs of the plurality of detection subsystems and generating an analysis of the microscope image, the overall analyzer comprising a second-level support vector machine;
receiving digitized microscope image data to be processed in the processor; and
processing the digitized microscope image data to classify the features of interest and generate an output comprising an analysis of the digitized microscope image.
4 Assignments
0 Petitions
Accused Products
Abstract
Digitized image data are input into a processor where a detection component identifies the areas (objects) of particular interest in the image and, by segmentation, separates those objects from the background. A feature extraction component formulates numerical values relevant to the classification task from the segmented objects. Results of the preceding analysis steps are input into a trained learning machine classifier which produces an output which may consist of an index discriminating between two possible diagnoses, or some other output in the desired output format. In one embodiment, digitized image data are input into a plurality of subsystems, each subsystem having one or more support vector machines. Pre-processing may include the use of known transformations which facilitate extraction of the useful data. Each subsystem analyzes the data relevant to a different feature or characteristic found within the image. Once each subsystem completes its analysis and classification, the output for all subsystems is input into an overall support vector machine analyzer which combines the data to make a diagnosis, decision or other action which utilizes the knowledge obtained from the image.
146 Citations
20 Claims
-
1. A method for automated analysis of a digitized microscope image of a medical specimen having a plurality of features of interest, the method comprising:
-
storing a plurality of detection subsystems in a memory device in communication with a processor, wherein each of the plurality of detection subsystems comprises a pre-processing component for detecting and extracting one of the features of interest within the microscope image, a classification component comprising at least one first-level support vector machine for classifying the extracted feature of interest into at least one of a plurality of possible feature classes, an output for outputting the classified feature of interest, and an overall analyzer for combining the outputs of the plurality of detection subsystems and generating an analysis of the microscope image, the overall analyzer comprising a second-level support vector machine; receiving digitized microscope image data to be processed in the processor; and processing the digitized microscope image data to classify the features of interest and generate an output comprising an analysis of the digitized microscope image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
-
-
12. A computer system for analysis of a digitized microscope image of a medical specimen having a plurality of features of interest, the computer system comprising:
-
a processor programmed for executing a plurality of support vector machines; an input device for receiving image data to be processed; a memory device in communication with the processor having a plurality of detection subsystems stored therein for execution by the processor, each of the plurality of detection subsystems comprising; a pre-processing component for detecting and extracting one of the features of interest within the image data; a classification component comprising at least one first-level support vector machine for classifying the feature of interest into at least one of a plurality of possible features characteristics; an output for outputting the classified feature of interest; an overall analyzer for combining the outputs of the plurality of detection subsystems and generating an analysis of the digitized microscope image, the overall analyzer comprising a second-level support vector machine. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
-
Specification