COMBINING INFORMATION OF DIFFERENT LEVELS FOR CONTENT-BASED RETRIEVAL OF DIGITAL PATHOLOGY IMAGES
First Claim
1. A method of extracting a feature of an image programmed in a memory of a device comprising:
- a. receiving a pathology image;
b. performing a plurality of modes of quantization on the pathology image;
c. extracting features from quantization maps of the pathology image; and
d. generating a feature vector of the pathology image.
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Abstract
Content-based retrieval of digital pathology images (DPI) is a fundamental component in an intelligent DPI processing and management system. One key issue of content-based DPI retrieval is how to represent an image as a feature vector, capturing its key information that is most relevant to the goal of retrieval. A unified framework of extracting information of different levels for DPI, namely low level color information, middle level texture information and high level diagnostic information is described herein. Such information from all the levels are integrated to the end of content-based DPI retrieval.
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Citations
33 Claims
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1. A method of extracting a feature of an image programmed in a memory of a device comprising:
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a. receiving a pathology image; b. performing a plurality of modes of quantization on the pathology image; c. extracting features from quantization maps of the pathology image; and d. generating a feature vector of the pathology image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system programmed in a memory of a device comprising:
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a. a mode module configured for performing a plurality of modes of quantization on a pathology image; b. an extraction module configured for extracting features from quantization maps of the pathology image; and c. a generation module configured for generating a feature vector of the pathology image. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. An apparatus comprising:
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a. a non-transitory memory for storing an application, the application for; i. receiving a pathology image; ii. performing a plurality of modes of quantization on the pathology image; iii. extracting features from quantization maps of the pathology image; and iv. generating a feature vector of the pathology image; and b. a processing component coupled to the memory, the processing component configured for processing the application. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
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Specification