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- 저자 : Minh-Trieu Tran (검색결과 5 건)
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Staff-line Removal for Music Score Images using U-net
Minh Tran Trieu(트란 민 트루),GueeSang Lee(이귀상) 한국정보과학회 2020 정보과학회 컴퓨팅의 실제 논문지 Vol.26 No.1
악보영상의 오선제거는 악보 인식의 향후 과정에 영향을 미치므로 중요한 문제이다. 본 논문에서는 두가지 단계로 구성된 악보영상의 오선제거에 대한 새로운 방법을 제시한다. 먼저 super-resolution을 이용하여 입력영상의 화질을 개선한다. 오선제거 성능은 많은 경우 입력영상의 화질에 좌우된다. 그리고 나서 전통적인 심층학습네트워크인 CNN 대신 U-net을 이용하여 오선제거를 시도한다. U-net은 객체분할에 좋은 성능을 보이는 심층신경망으로 알려져 있으며 본 논문에서는 이러한 객체추출 및 분할성능에 탁월한 U-net을 활용함으로써 성능을 개선하고자 한다. 제안된 방법은 ICDAR/GREC 자료셋에 대하여 실험을 수행하였으며 기존방법보다 우수한 결과를 생성하였다. Staff- line removal from the music score images is important because it directly influences the subsequent procedures for music score recognition. We propose a novel technique for staff-line removal in music score images, which is is composed of two steps. Firstly, a super-resolution method to enhance the quality of music photos is is used as a preprocessing step. The performance of the staff- line removal task is often dependent on the quality of the original music score image, hence, the preprocessing can enhance the staff- line removal performance. Then, a modified U-net model is is used, instead of conventional Convolutional Neural Network (CNN), to remove staff lines from previously enhanced images. U-net has been proved proven to be an effective deep neural network model, particularly in object image segmentation, which has been adopted for staff-line extraction and removal. The proposed approach is is evaluated on the ICDAR/GREC dataset and the experiment showss an improved results than compared to existing methods.
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Super-resolution in Music Score Images by Instance Normalization
Minh-Trieu Tran,이귀상 (사)한국스마트미디어학회 2019 스마트미디어저널 Vol.8 No.4
The performance of an OMR (Optical Music Recognition) system is usually determined by the characterizing features of the input music score images. Low resolution is one of the main factors leading to degraded image quality. In this paper, we handle the low-resolution problem using the super-resolution technique. We propose the use of a deep neural network with instance normalization to improve the quality of music score images. We apply instance normalization which has proven to be beneficial in single image enhancement. It works better than batch normalization, which shows the effectiveness of shifting the mean and variance of deep features at the instance level. The proposed method provides an end-to-end mapping technique between the high and low-resolution images respectively. New images are then created, in which the resolution is four times higher than the resolution of the original images. Our model has been evaluated with the dataset “DeepScores” and shows that it outperforms other existing methods.
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Trieu Ngan Hoang Kim,Phan Xuan Thi,Tran Linh Thanh,Pham Huy Minh,Huynh Dai Quang,Nguyen Tuan Manh,Mai Anh Tuan,Du Quan Quoc Minh,Nguyen Bach Xuan,Pham Thao Thi Ngoc 대한중환자의학회 2023 Acute and Critical Care Vol.38 No.3
Background: Hemostatic dysfunction during extracorporeal membrane oxygenation (ECMO) due to blood-circuit interaction and the consequences of shear stress imposed by flow rates lead to rapid coagulation cascade and thrombus formation in the ECMO system and blood vessels. We aimed to identify the incidence and risk factors for cannula-associated arterial thrombosis (CaAT) post-decannulation. Methods: A retrospective study of patients undergoing arterial cannula removal following ECMO was performed. We evaluated the incidence of CaAT and compared the characteristics, ECMO machine parameters, cannula sizes, number of blood products transfused during ECMO, and daily hemostasis parameters in patients with and without CaAT. Multivariate analysis identified the risk factors for CaAT. Results: Forty-seven patients requiring venoarterial ECMO (VA-ECMO) or hybrid methods were recruited for thrombosis screening. The median Sequential Organ Failure Assessment score was 11 (interquartile range, 8–13). CaAT occurred in 29 patients (61.7%), with thrombosis in the superficial femoral artery accounting for 51.7% of cases. The rate of limb ischemia complications in the CaAT group was 17.2%. Multivariate analysis determined that the ECMO flow rate–body surface area (BSA) ratio (100 ml/min/m2) was an independent factor for CaAT, with an odds ratio of 0.79 (95% confidence interval, 0.66–0.95, P=0.014). Conclusions: We found that the incidence of CaAT was 61.7% following successful decannulation from VA-ECMO or hybrid modes, and the ECMO flow rate–BSA ratio was an independent risk factor for CaAT. We suggest screening for arterial thrombosis following VA-ECMO, and further research is needed to determine the risks and benefits of such screening.
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