APPARATUS FOR QUALITY MANAGMENT OF MEDICAL IMAGE INTERPRETATION USNIG MACHINE LEARNING AND METHOD THEREOF
The present disclosure relates to an apparatus and method for managing a medical image interpretation result by comparing an interpretation result of a medical image by a medical person with an interpretation result generated based on a machine learning model. According to the present invention, the...
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| creator | JEONGYOUNG KIM KI HWAN JANG MIN HONG |
| description | The present disclosure relates to an apparatus and method for managing a medical image interpretation result by comparing an interpretation result of a medical image by a medical person with an interpretation result generated based on a machine learning model. According to the present invention, the method for managing a medical image interpretation result comprises the steps of: receiving a medical image; receiving report information which is a result of determination of a medical person for the medical image; generating result information indicating identity of first lesion information and second lesion information by applying the first lesion information related to a lesion of the medical image obtained based on the medical image and the second lesion information related to a lesion of the medical image obtained based on the report information to a third analysis model; and outputting the result information.
본 개시는 의료인이 의료 영상을 판독한 결과 및 기계학습모델이 기초하여 생성된 판독한 결과를 비교하여 의료 영상 판독의 결과를 관리하기 위한 장치 및 방법에 관한 것으로써, 의료 영상을 수신하는 단계, 의료 영상에 대한 의료인의 판단 결과인 리포트 정보를 수신하는 단계, 의료 영상을 기초로 획득되는 의료 영상의 병변과 관련된 제 1 병변 정보 및 리포트 정보를 기초로 획득되는 의료 영상의 병변과 관련된 제 2 병변 정보를 제 3 분석 모델에 적용하여 제 1 병변 정보 및 제 2 병변 정보의 동일성을 나타내는 결과 정보를 생성하는 단계 및 결과 정보를 출력하는 단계를 포함하는 것을 특징으로 한다. |
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본 개시는 의료인이 의료 영상을 판독한 결과 및 기계학습모델이 기초하여 생성된 판독한 결과를 비교하여 의료 영상 판독의 결과를 관리하기 위한 장치 및 방법에 관한 것으로써, 의료 영상을 수신하는 단계, 의료 영상에 대한 의료인의 판단 결과인 리포트 정보를 수신하는 단계, 의료 영상을 기초로 획득되는 의료 영상의 병변과 관련된 제 1 병변 정보 및 리포트 정보를 기초로 획득되는 의료 영상의 병변과 관련된 제 2 병변 정보를 제 3 분석 모델에 적용하여 제 1 병변 정보 및 제 2 병변 정보의 동일성을 나타내는 결과 정보를 생성하는 단계 및 결과 정보를 출력하는 단계를 포함하는 것을 특징으로 한다.</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DIAGNOSIS ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; SURGERY</subject><creationdate>2020</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=20200803&DB=EPODOC&CC=KR&NR=102140402B1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200803&DB=EPODOC&CC=KR&NR=102140402B1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JEONGYOUNG</creatorcontrib><creatorcontrib>KIM KI HWAN</creatorcontrib><creatorcontrib>JANG MIN HONG</creatorcontrib><title>APPARATUS FOR QUALITY MANAGMENT OF MEDICAL IMAGE INTERPRETATION USNIG MACHINE LEARNING AND METHOD THEREOF</title><description>The present disclosure relates to an apparatus and method for managing a medical image interpretation result by comparing an interpretation result of a medical image by a medical person with an interpretation result generated based on a machine learning model. According to the present invention, the method for managing a medical image interpretation result comprises the steps of: receiving a medical image; receiving report information which is a result of determination of a medical person for the medical image; generating result information indicating identity of first lesion information and second lesion information by applying the first lesion information related to a lesion of the medical image obtained based on the medical image and the second lesion information related to a lesion of the medical image obtained based on the report information to a third analysis model; and outputting the result information.
본 개시는 의료인이 의료 영상을 판독한 결과 및 기계학습모델이 기초하여 생성된 판독한 결과를 비교하여 의료 영상 판독의 결과를 관리하기 위한 장치 및 방법에 관한 것으로써, 의료 영상을 수신하는 단계, 의료 영상에 대한 의료인의 판단 결과인 리포트 정보를 수신하는 단계, 의료 영상을 기초로 획득되는 의료 영상의 병변과 관련된 제 1 병변 정보 및 리포트 정보를 기초로 획득되는 의료 영상의 병변과 관련된 제 2 병변 정보를 제 3 분석 모델에 적용하여 제 1 병변 정보 및 제 2 병변 정보의 동일성을 나타내는 결과 정보를 생성하는 단계 및 결과 정보를 출력하는 단계를 포함하는 것을 특징으로 한다.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DIAGNOSIS</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>PHYSICS</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNy8EKgkAQgGEvHaJ6h4HOgVovMOrs7pDO2joeOonEBkGUYO9PHnqATv_l-9fJA9sWA2rfgfEBLj3WrFdoUNA2JAreQEMVl1gDN2gJWJRCG0hR2Qv0nbBdfOlYCGrCICwWUKrlU-crUEeBvNkmq_v4nOPu102yN6SlO8TpPcR5Gm_xFT_DOWRpnp3SU5oXRXb8T30BLaQ2tA</recordid><startdate>20200803</startdate><enddate>20200803</enddate><creator>JEONGYOUNG</creator><creator>KIM KI HWAN</creator><creator>JANG MIN HONG</creator><scope>EVB</scope></search><sort><creationdate>20200803</creationdate><title>APPARATUS FOR QUALITY MANAGMENT OF MEDICAL IMAGE INTERPRETATION USNIG MACHINE LEARNING AND METHOD THEREOF</title><author>JEONGYOUNG ; KIM KI HWAN ; JANG MIN HONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR102140402BB13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIAGNOSIS</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>PHYSICS</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>JEONGYOUNG</creatorcontrib><creatorcontrib>KIM KI HWAN</creatorcontrib><creatorcontrib>JANG MIN HONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JEONGYOUNG</au><au>KIM KI HWAN</au><au>JANG MIN HONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>APPARATUS FOR QUALITY MANAGMENT OF MEDICAL IMAGE INTERPRETATION USNIG MACHINE LEARNING AND METHOD THEREOF</title><date>2020-08-03</date><risdate>2020</risdate><abstract>The present disclosure relates to an apparatus and method for managing a medical image interpretation result by comparing an interpretation result of a medical image by a medical person with an interpretation result generated based on a machine learning model. According to the present invention, the method for managing a medical image interpretation result comprises the steps of: receiving a medical image; receiving report information which is a result of determination of a medical person for the medical image; generating result information indicating identity of first lesion information and second lesion information by applying the first lesion information related to a lesion of the medical image obtained based on the medical image and the second lesion information related to a lesion of the medical image obtained based on the report information to a third analysis model; and outputting the result information.
본 개시는 의료인이 의료 영상을 판독한 결과 및 기계학습모델이 기초하여 생성된 판독한 결과를 비교하여 의료 영상 판독의 결과를 관리하기 위한 장치 및 방법에 관한 것으로써, 의료 영상을 수신하는 단계, 의료 영상에 대한 의료인의 판단 결과인 리포트 정보를 수신하는 단계, 의료 영상을 기초로 획득되는 의료 영상의 병변과 관련된 제 1 병변 정보 및 리포트 정보를 기초로 획득되는 의료 영상의 병변과 관련된 제 2 병변 정보를 제 3 분석 모델에 적용하여 제 1 병변 정보 및 제 2 병변 정보의 동일성을 나타내는 결과 정보를 생성하는 단계 및 결과 정보를 출력하는 단계를 포함하는 것을 특징으로 한다.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
| title | APPARATUS FOR QUALITY MANAGMENT OF MEDICAL IMAGE INTERPRETATION USNIG MACHINE LEARNING AND METHOD THEREOF |
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