METHOD FOR MEASURING LESION OF MEDICAL IMAGE

• Main Authors: KIM KYUNGDOC, KIM YEONG WON, KIM HYEONGSUB, LEE HONGSEOK
• Format: Patent
• Language: English; Korean
• Published: 02.08.2022
• Subjects: BEER; BIOCHEMISTRY; CALCULATING; CHEMISTRY; COMPOSITIONS OR TEST PAPERS THEREFOR; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES; COUNTING; ENZYMOLOGY; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS; METALLURGY; MICROBIOLOGY; MUTATION OR GENETIC ENGINEERING; PHYSICS; PROCESSES OF PREPARING SUCH COMPOSITIONS; SPIRITS; VINEGAR; WINE

Disclosed is a method for analyzing a lesion based on a medical image performed by a computing device according to one embodiment of the present disclosure. The method may comprise: a step of extracting a first feature of each of a plurality of tiles included in an input image using a prelearned artificial neural network; and a step of extracting, by using the prelearned artificial neural network, the information regarding to whether or not a lesion exists for each tile generated based on the first feature of the plurality of tiles, and a second feature for the entire input image based on the information regarding a pattern of the lesion for each tile. 본 개시의 일 실시예에 따라 컴퓨팅 장치에 의해 수행되는 의료 영상 기반의 병변 분석 방법이 개시된다. 상기 방법은, 사전 학습된 인공 신경망을 사용하여 입력 영상에 포함된 복수의 타일들 각각의 제 1 특징을 추출하는 단계; 및 상기 사전 학습된 인공 신경망을 사용하여, 상기 복수의 타일들의 제 1 특징들을 기초로 생성된 타일 별 병변의 존재 여부에 관한 정보 및 타일 별 병변의 패턴에 관한 정보를 기초로, 상기 입력 영상 전체에 대한 제 2 특징을 추출하는 단계를 포함할 수 있다.