FACIAL BONE FRACTURE DETECTION SYSTEM USING DEEP LEARNING MODEL

FACIAL BONE FRACTURE DETECTION SYSTEM USING DEEP LEARNING MODEL

The present invention relates to a facial bone fracture detection system for detecting facial bone fractures from facial bone CT images in facial trauma patients. A facial bone fracture detection system includes: a preprocessing module which preprocesses facial bone CT images through HU filtering to...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: SEOLA KIM, WOOJIN KIM, YOON KIM, HYUN SOO CHOI, GWISEONG MOON, YEONJIN JEONG
Format: Patent
Sprache:eng ; kor
Schlagworte:
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
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Beschreibung
Zusammenfassung:The present invention relates to a facial bone fracture detection system for detecting facial bone fractures from facial bone CT images in facial trauma patients. A facial bone fracture detection system includes: a preprocessing module which preprocesses facial bone CT images through HU filtering to emphasize a skeleton; and a facial bone fracture detection module which detects the presence and location of facial bone fractures using a deep learning model from preprocessed facial bone CT images. 본 발명은 안면 외상 환자의 안면골 CT 이미지로부터 안면골 골절을 검출하기 위한 안면골 골절 검출 시스템으로서: 안면골 CT 이미지를 HU 필터링을 통해 전처리하여 골격을 강조하는 전처리 모듈; 및 전처리된 안면골 CT 이미지로부터 딥러닝 모델을 이용하여 안면골 골절 여부 및 위치를 검출하는 안면골 골절 검출 모듈;을 포함하는 것을 특징으로 한다.