APPARATUS FOR FREQUENCY ANALYSIS TO SURGERY TOOL USAGE IN ROBOT-ASSISTED LAPAROSCOPIC RADICAL PROSTATECTOMY BY DEEP LEARNING BASED TOOL RECOGNITION MODEL
Disclosed is a tool usage frequency analysis device for robotic laparoscopic radical prostatectomy using an artificial intelligence-based tool recognition model. In accordance with one embodiment of the present invention, the tool usage frequency analysis device for robotic laparoscopic radical pros...
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| creator | HA HONG KOO KIM DEOKSEOK KYUNG HWAN KIM |
| description | Disclosed is a tool usage frequency analysis device for robotic laparoscopic radical prostatectomy using an artificial intelligence-based tool recognition model. In accordance with one embodiment of the present invention, the tool usage frequency analysis device for robotic laparoscopic radical prostatectomy using an open-set artificial intelligence-based tool recognition model, includes: a data collection part collecting learning data including a plurality of surgical videos associated with robotic laparoscopic radical prostatectomy; a data processing part applying preprocessing to the learning data, including at least one among de-identifying personal information, removing a frame in which a surgical tool do not appear, removing a similar frame and labeling a region in which a surgical tool appears; a learning part training an artificial intelligence-based tool recognition model by deriving appearance information of a surgical tool and type information of a surgical tool from an input image, based on the learning data to which the preprocessing has been applied; and an analysis part deriving the appearance information and the type information for each frame of an inputted surgical video based on the tool recognition model. Therefore, the present invention is capable of building a tool recognition dataset based on surgical tool images extracted from a robotic laparoscopic radical prostatectomy video.
인공지능 기반의 도구 인식 모델을 이용한 로봇 복강경 근치적 전립선 절제술에서의 도구 사용 빈도 분석 장치가 개시되며, 본원의 일 실시예에 따른 오픈셋 인공지능 기반의 도구 인식 모델을 이용한 로봇 복강경 근치적 전립선 절제술에서의 도구 사용 빈도 분석 장치는, 로봇 복강경 근치적 전립선 절제술과 연계된 복수의 수술 동영상을 포함하는 학습 데이터를 수집하는 데이터 수집부, 상기 학습 데이터에 대하여 개인정보 비식별화 처리, 수술 도구 미등장 프레임 제거, 유사 프레임 제거 및 수술 도구 등장 영역 라벨링 중 적어도 하나를 포함하는 전처리를 적용하는 데이터 가공부, 상기 전처리가 적용된 학습 데이터에 기초하여, 입력 이미지로부터 수술 도구의 등장 정보 및 수술 도구의 유형 정보를 도출하는 인공지능 기반의 도구 인식 모델을 학습시키는 학습부 및 상기 도구 인식 모델에 기초하여 입력된 수술 동영상의 각 프레임에 대한 상기 등장 정보 및 상기 유형 정보를 도출하는 분석부를 포함할 수 있다. |
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인공지능 기반의 도구 인식 모델을 이용한 로봇 복강경 근치적 전립선 절제술에서의 도구 사용 빈도 분석 장치가 개시되며, 본원의 일 실시예에 따른 오픈셋 인공지능 기반의 도구 인식 모델을 이용한 로봇 복강경 근치적 전립선 절제술에서의 도구 사용 빈도 분석 장치는, 로봇 복강경 근치적 전립선 절제술과 연계된 복수의 수술 동영상을 포함하는 학습 데이터를 수집하는 데이터 수집부, 상기 학습 데이터에 대하여 개인정보 비식별화 처리, 수술 도구 미등장 프레임 제거, 유사 프레임 제거 및 수술 도구 등장 영역 라벨링 중 적어도 하나를 포함하는 전처리를 적용하는 데이터 가공부, 상기 전처리가 적용된 학습 데이터에 기초하여, 입력 이미지로부터 수술 도구의 등장 정보 및 수술 도구의 유형 정보를 도출하는 인공지능 기반의 도구 인식 모델을 학습시키는 학습부 및 상기 도구 인식 모델에 기초하여 입력된 수술 동영상의 각 프레임에 대한 상기 등장 정보 및 상기 유형 정보를 도출하는 분석부를 포함할 수 있다.</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 ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; SURGERY</subject><creationdate>2023</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=20230811&DB=EPODOC&CC=KR&NR=20230118403A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230811&DB=EPODOC&CC=KR&NR=20230118403A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HA HONG KOO</creatorcontrib><creatorcontrib>KIM DEOKSEOK</creatorcontrib><creatorcontrib>KYUNG HWAN KIM</creatorcontrib><title>APPARATUS FOR FREQUENCY ANALYSIS TO SURGERY TOOL USAGE IN ROBOT-ASSISTED LAPAROSCOPIC RADICAL PROSTATECTOMY BY DEEP LEARNING BASED TOOL RECOGNITION MODEL</title><description>Disclosed is a tool usage frequency analysis device for robotic laparoscopic radical prostatectomy using an artificial intelligence-based tool recognition model. In accordance with one embodiment of the present invention, the tool usage frequency analysis device for robotic laparoscopic radical prostatectomy using an open-set artificial intelligence-based tool recognition model, includes: a data collection part collecting learning data including a plurality of surgical videos associated with robotic laparoscopic radical prostatectomy; a data processing part applying preprocessing to the learning data, including at least one among de-identifying personal information, removing a frame in which a surgical tool do not appear, removing a similar frame and labeling a region in which a surgical tool appears; a learning part training an artificial intelligence-based tool recognition model by deriving appearance information of a surgical tool and type information of a surgical tool from an input image, based on the learning data to which the preprocessing has been applied; and an analysis part deriving the appearance information and the type information for each frame of an inputted surgical video based on the tool recognition model. Therefore, the present invention is capable of building a tool recognition dataset based on surgical tool images extracted from a robotic laparoscopic radical prostatectomy video.
인공지능 기반의 도구 인식 모델을 이용한 로봇 복강경 근치적 전립선 절제술에서의 도구 사용 빈도 분석 장치가 개시되며, 본원의 일 실시예에 따른 오픈셋 인공지능 기반의 도구 인식 모델을 이용한 로봇 복강경 근치적 전립선 절제술에서의 도구 사용 빈도 분석 장치는, 로봇 복강경 근치적 전립선 절제술과 연계된 복수의 수술 동영상을 포함하는 학습 데이터를 수집하는 데이터 수집부, 상기 학습 데이터에 대하여 개인정보 비식별화 처리, 수술 도구 미등장 프레임 제거, 유사 프레임 제거 및 수술 도구 등장 영역 라벨링 중 적어도 하나를 포함하는 전처리를 적용하는 데이터 가공부, 상기 전처리가 적용된 학습 데이터에 기초하여, 입력 이미지로부터 수술 도구의 등장 정보 및 수술 도구의 유형 정보를 도출하는 인공지능 기반의 도구 인식 모델을 학습시키는 학습부 및 상기 도구 인식 모델에 기초하여 입력된 수술 동영상의 각 프레임에 대한 상기 등장 정보 및 상기 유형 정보를 도출하는 분석부를 포함할 수 있다.</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>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</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>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjDGOwjAQRdNQIOAOI1EjBbIF7cSZBAvj8Y4nhSuEkKkQIMFluO1aKw5A9b--3n_T6o0hoKCOEXoW6IV-R_ImAXp0KdoIyhBHGUhSqexgjDgQWA_CLesKY4GUOnBYRBwNB2tAsLMGHYSyKCoZ5UOCNkFHFMARird-gBZjef5rhQwP3qplDwfuyM2ryeV0febFJ2fVsic1u1V-3I_5-Tid8y2_jnvZ1JumXq-3P3WDzXfUHxBbRFE</recordid><startdate>20230811</startdate><enddate>20230811</enddate><creator>HA HONG KOO</creator><creator>KIM DEOKSEOK</creator><creator>KYUNG HWAN KIM</creator><scope>EVB</scope></search><sort><creationdate>20230811</creationdate><title>APPARATUS FOR FREQUENCY ANALYSIS TO SURGERY TOOL USAGE IN ROBOT-ASSISTED LAPAROSCOPIC RADICAL PROSTATECTOMY BY DEEP LEARNING BASED TOOL RECOGNITION MODEL</title><author>HA HONG KOO ; KIM DEOKSEOK ; KYUNG HWAN KIM</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20230118403A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2023</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>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</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>HA HONG KOO</creatorcontrib><creatorcontrib>KIM DEOKSEOK</creatorcontrib><creatorcontrib>KYUNG HWAN KIM</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HA HONG KOO</au><au>KIM DEOKSEOK</au><au>KYUNG HWAN KIM</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>APPARATUS FOR FREQUENCY ANALYSIS TO SURGERY TOOL USAGE IN ROBOT-ASSISTED LAPAROSCOPIC RADICAL PROSTATECTOMY BY DEEP LEARNING BASED TOOL RECOGNITION MODEL</title><date>2023-08-11</date><risdate>2023</risdate><abstract>Disclosed is a tool usage frequency analysis device for robotic laparoscopic radical prostatectomy using an artificial intelligence-based tool recognition model. In accordance with one embodiment of the present invention, the tool usage frequency analysis device for robotic laparoscopic radical prostatectomy using an open-set artificial intelligence-based tool recognition model, includes: a data collection part collecting learning data including a plurality of surgical videos associated with robotic laparoscopic radical prostatectomy; a data processing part applying preprocessing to the learning data, including at least one among de-identifying personal information, removing a frame in which a surgical tool do not appear, removing a similar frame and labeling a region in which a surgical tool appears; a learning part training an artificial intelligence-based tool recognition model by deriving appearance information of a surgical tool and type information of a surgical tool from an input image, based on the learning data to which the preprocessing has been applied; and an analysis part deriving the appearance information and the type information for each frame of an inputted surgical video based on the tool recognition model. Therefore, the present invention is capable of building a tool recognition dataset based on surgical tool images extracted from a robotic laparoscopic radical prostatectomy video.
인공지능 기반의 도구 인식 모델을 이용한 로봇 복강경 근치적 전립선 절제술에서의 도구 사용 빈도 분석 장치가 개시되며, 본원의 일 실시예에 따른 오픈셋 인공지능 기반의 도구 인식 모델을 이용한 로봇 복강경 근치적 전립선 절제술에서의 도구 사용 빈도 분석 장치는, 로봇 복강경 근치적 전립선 절제술과 연계된 복수의 수술 동영상을 포함하는 학습 데이터를 수집하는 데이터 수집부, 상기 학습 데이터에 대하여 개인정보 비식별화 처리, 수술 도구 미등장 프레임 제거, 유사 프레임 제거 및 수술 도구 등장 영역 라벨링 중 적어도 하나를 포함하는 전처리를 적용하는 데이터 가공부, 상기 전처리가 적용된 학습 데이터에 기초하여, 입력 이미지로부터 수술 도구의 등장 정보 및 수술 도구의 유형 정보를 도출하는 인공지능 기반의 도구 인식 모델을 학습시키는 학습부 및 상기 도구 인식 모델에 기초하여 입력된 수술 동영상의 각 프레임에 대한 상기 등장 정보 및 상기 유형 정보를 도출하는 분석부를 포함할 수 있다.</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 IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
| title | APPARATUS FOR FREQUENCY ANALYSIS TO SURGERY TOOL USAGE IN ROBOT-ASSISTED LAPAROSCOPIC RADICAL PROSTATECTOMY BY DEEP LEARNING BASED TOOL RECOGNITION MODEL |
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