Nodule benign and malignant judgment device based on neural network
The invention relates to a nodule benign and malignant judgment device based on a neural network. The nodule benign and malignant judgment device comprises an image acquisition module used for acquiring an ultrasonic image with a nodule; the benign and malignant detection module is used for detectin...
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| creator | ZHANG GANJUN |
| description | The invention relates to a nodule benign and malignant judgment device based on a neural network. The nodule benign and malignant judgment device comprises an image acquisition module used for acquiring an ultrasonic image with a nodule; the benign and malignant detection module is used for detecting benign and malignant nodules in the ultrasonic image through a neural network, the neural network comprises a feature extraction module and a feature classification module, the feature extraction module is connected with the feature classification module, the feature extraction module is used for extracting image features, and the feature classification module is used for classifying the image features; and the feature grading module is used for obtaining feature matrixes of different receptive fields based on the image features and performing result prediction on the feature matrixes of the different receptive fields. According to the method, benign and malignant nodules in the ultrasonic image can be accurately |
| format | Patent |
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The nodule benign and malignant judgment device comprises an image acquisition module used for acquiring an ultrasonic image with a nodule; the benign and malignant detection module is used for detecting benign and malignant nodules in the ultrasonic image through a neural network, the neural network comprises a feature extraction module and a feature classification module, the feature extraction module is connected with the feature classification module, the feature extraction module is used for extracting image features, and the feature classification module is used for classifying the image features; and the feature grading module is used for obtaining feature matrixes of different receptive fields based on the image features and performing result prediction on the feature matrixes of the different receptive fields. According to the method, benign and malignant nodules in the ultrasonic image can be accurately</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220712&DB=EPODOC&CC=CN&NR=114742761A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220712&DB=EPODOC&CC=CN&NR=114742761A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG GANJUN</creatorcontrib><title>Nodule benign and malignant judgment device based on neural network</title><description>The invention relates to a nodule benign and malignant judgment device based on a neural network. The nodule benign and malignant judgment device comprises an image acquisition module used for acquiring an ultrasonic image with a nodule; the benign and malignant detection module is used for detecting benign and malignant nodules in the ultrasonic image through a neural network, the neural network comprises a feature extraction module and a feature classification module, the feature extraction module is connected with the feature classification module, the feature extraction module is used for extracting image features, and the feature classification module is used for classifying the image features; and the feature grading module is used for obtaining feature matrixes of different receptive fields based on the image features and performing result prediction on the feature matrixes of the different receptive fields. According to the method, benign and malignant nodules in the ultrasonic image can be accurately</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHD2y08pzUlVSErNy0zPU0jMS1HITcwBMhPzShSySlPSc1OBjJTUssxkoKLE4tQUhfw8hbzU0qLEHCBVUp5flM3DwJqWmFOcyguluRkU3VxDnD10Uwvy41OLCxKTU4Eq4539DA1NzE2MzM0MHY2JUQMAZe8yTw</recordid><startdate>20220712</startdate><enddate>20220712</enddate><creator>ZHANG GANJUN</creator><scope>EVB</scope></search><sort><creationdate>20220712</creationdate><title>Nodule benign and malignant judgment device based on neural network</title><author>ZHANG GANJUN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114742761A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG GANJUN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG GANJUN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Nodule benign and malignant judgment device based on neural network</title><date>2022-07-12</date><risdate>2022</risdate><abstract>The invention relates to a nodule benign and malignant judgment device based on a neural network. The nodule benign and malignant judgment device comprises an image acquisition module used for acquiring an ultrasonic image with a nodule; the benign and malignant detection module is used for detecting benign and malignant nodules in the ultrasonic image through a neural network, the neural network comprises a feature extraction module and a feature classification module, the feature extraction module is connected with the feature classification module, the feature extraction module is used for extracting image features, and the feature classification module is used for classifying the image features; and the feature grading module is used for obtaining feature matrixes of different receptive fields based on the image features and performing result prediction on the feature matrixes of the different receptive fields. According to the method, benign and malignant nodules in the ultrasonic image can be accurately</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Nodule benign and malignant judgment device based on neural network |
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