• Advances in pediatric surgery
• /
• v.17 no.1
• /
• pp.81-87
• /
• 2011

This study was aimed to evaluate associated congenital anomalies in the patients with esophageal atresia with tracheoesophageal fistula (EA/TEF). Forty-two neonates with the diagnosis of EA/TEF treated over a 10 year period in a single institution were included in this study. The demography of EA/TEF was analyzed. Major associated anomalies including vertebral, anal, cardiac, renal, limb, neurologic and chromosome were reviewed and categorized. Males were slightly more dominant than females (1.47:1) and all patients had Gross type C EA/TEF. Only 19 % of the patients had solitary EA/TEF without associated anomalies. Cardiac anomalies were the most common associated congenital anomaly in patients with EA/TEF (73.8 %). But 47.6 % were cured spontaneously or did not affect patients' life. Atrial septal defect (ASD) was the most common cardiac anomaly followed by patent ductus arterious (PDA) and ventricular septal defect (VSD). Among gastrointestinal anomalies (23.8 %), anorectal malformations were the most frequent, 70 % Vertebral and limb abnormalities accounted for 11.9 % and urogenital malformations 9.5 % of the anomalies in patients with EA/TEF. VACTERL associated anomalies were 23.8 % and 1.8% had full VACTERL. Almost 12 % of EA/TEF had neurologic anomalies. Patients with EA/TEF require preoperative evaluation including neurologic evaluation to detect anomalies not related to VACTERL. Though associated cardiac anomaly occurred in 73.8 % of patients in our study, only 21.42 % needed surgical correction. The authors suggesrs further studies with large numbers of patients with EA/TEF.

• Journal of Internet Computing and Services
• /
• v.23 no.2
• /
• pp.97-105
• /
• 2022

Web services show a rapid evolution and integration to meet the increased users' requirements. Thus, web services undergo updates and may have performance degradation due to undetected faults in the updated versions. Due to these faults, many performances and regression anomalies in web services may occur in real-world scenarios. This paper proposed applying the deep learning model and innovative explainable framework to detect performance and regression anomalies in web services. This study indicated that upper bound and lower bound values in performance metrics provide us with the simple means to detect the performance and regression anomalies in updated versions of web services. The explainable deep learning method enabled us to decide the precise use of deep learning to detect performance and anomalies in web services. The evaluation results of the proposed approach showed us the detection of unusual behavior of web service. The proposed approach is efficient and straightforward in detecting regression anomalies in web services compared with the existing approaches.

• Archives of Craniofacial Surgery
• /
• v.24 no.4
• /
• pp.145-158
• /
• 2023

Vascular anomalies encompass a variety of malformations and tumors that can result in severe morbidity and mortality in both adults and children. Advances have been made in the classification and diagnosis of these anomalies, with the International Society for the Study of Vascular Anomalies establishing a widely recognized classification system. In recent years, notable progress has been made in genetic testing and imaging techniques, enhancing our ability to diagnose these conditions. The increasing sophistication of genetic testing has facilitated the identification of specific genetic mutations that help treatment decisions. Furthermore, imaging techniques such as magnetic resonance imaging and computed tomography have greatly improved our capacity to visualize and detect vascular abnormalities, enabling more accurate diagnoses. When considering reconstructive surgery for facial vascular anomalies, it is important to consider both functional and cosmetic results of the procedure. Therefore, a comprehensive multidisciplinary approach involving specialists from dermatology, radiology, and genetics is often required to ensure effective management of these conditions. Overall, the treatment approach for facial vascular anomalies depends on the type, size, location, and severity of the anomaly. A thorough evaluation by a team of specialists can determine the most appropriate and effective treatment plan.

• Smart Structures and Systems
• /
• v.29 no.3
• /
• pp.421-431
• /
• 2022

Concrete slab cracks monitoring of modern high-speed railway is important for safety and reliability of train operation, to prevent catastrophic failure, and to reduce maintenance costs. This paper proposes a curvature filtering improved crack detection method in concrete slabs of high-speed railway via graph-based anomalies calculation. Firstly, large curvature information contained in the images is extracted for the crack identification based on an improved curvature filtering method. Secondly, a graph-based model is developed for the image sub-blocks anomalies calculation where the baseline of the sub-blocks is acquired by crack-free samples. Once the anomaly is large than the acquired baseline, the sub-block is considered as crack-contained block. The experimental results indicate that the proposed method performs better than convolutional neural network method even under different curvature structures and illumination conditions. This work therefore provides a useful tool for concrete slabs crack detection and is broadly applicable to variety of infrastructure systems.

• Journal of Veterinary Science
• /
• v.22 no.4
• /
• pp.52.1-52.8
• /
• 2021

Background: The normal vertebral anatomy of Korean raccoon dogs and their variants require research attention as a prerequisite for identifying pathologies and anomalies. Objectives: This retrospective study aimed at describing the vertebral formula and congenital vertebral anomalies in Korean raccoon dogs (Nyctereutes procyonoides koreensis). Methods: Radiographs of 82 raccoon dogs (42 males, 40 females) acquired from May 2013 to June 2020 in the Gangwon Wildlife Medical Rescue Center were reviewed to evaluate the cervical, thoracic, and lumbar vertebrae of the spine. Results: Normal morphology of all vertebrae was observed in 50 of the 82 raccoon dogs, and the vertebral formula was cervical 7, thoracic 13, and lumbar 7. Congenital vertebral anomalies were found in 32 raccoon dogs: transitional vertebrae (TV) in 31 and block vertebrae in 2. Two raccoon dogs had 2 types of vertebral anomalies: one had TV and block vertebra, and the other had 2 types of TV. Twenty-nine raccoon dogs had thoracolumbar TV (TTV) and 3 had lumbosacral TV. TTV was morphologically classified into 4 different types: unilateral extra-rib in 5 raccoon dogs, bilateral extra-ribs in 14, bilateral elongated transverse processes in 4, and an asymmetric mixed formation of extra-rib with elongated transverse process in 6. Conclusions: This study showed that TTV is common in Korean raccoon dogs, and that the vertebral formula is relatively diverse. The bilateral extra-ribs type TTV is the most common variant, which is almost similar to normal rib to be confused the radiographic evaluation.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.605-607
• /
• 2023

Recent research has highlighted the effectiveness of Deep Learning (DL) techniques in automating the detection of lung sound anomalies. However, the available lung sound datasets often suffer from limitations in both size and balance, prompting DL methods to employ data preprocessing such as augmentation and transfer learning techniques. These strategies, while valuable, contribute to the increased complexity of DL models and necessitate substantial training memory. In this study, we proposed a streamlined and lightweight DL method but effectively detects lung sound anomalies from small and imbalanced dataset. The utilization of 1D dilated convolutional neural networks enhances sensitivity to lung sound anomalies by efficiently capturing deep temporal features and small variations. We conducted a comprehensive evaluation of the ICBHI dataset and achieved a notable improvement over state-of-the-art results, increasing the average score of sensitivity and specificity metrics by 2.7%.

• Archives of Craniofacial Surgery
• /
• v.22 no.3
• /
• pp.141-147
• /
• 2021

Background: Arteriovenous malformation (AVM) which is a high-blood-flow lesion with connections between arteries and veins without an intervening capillary bed, is difficult to manage. The ear is the second most common site of extracranial AVM. However, studies regarding the management of this condition remain lacking. The purpose of this study was to share managing experiences in our center and to investigate the treatment effect through a retrospective analysis of cases. Methods: Among 265 patients with AVM treated in our vascular anomalies center between January 2008 and January 2021, 10 patients with auricular AVM were included in the study to investigate the lesion distribution, clinical stage, and treatment methods by performing a retrospective evaluation. Results: Among 10 patients, five patients had AVMs distributed in the upper half of the ear, one patient in the lower half of the ear, and four patients in whole ear, respectively. Seven patients had Schobinger stage II, and three had stage III. One patient received surgical treatment only, four patients received sclerotherapy only, and five patients received both surgical treatment and sclerotherapy. The posttreatment status was checked as controlled in two patients, improved in seven patients, persistent in one patient. There were no worsening patients. Conclusion: Auricular AVM is a disease that is difficult to manage by one specific department, thus requiring a collaborative management effort from multidisciplinary team.

• Journal of Chest Surgery
• /
• v.7 no.1
• /
• pp.85-92
• /
• 1974

During the years 1959 to 1974, 99 patients with patent ductus arteriosus were admitted to National University Hospital. These includes 5 patients with additional cardiovascular and 5 patients with severe pulmonary hypertension. All were operated upon except three refused operation. In all instances, the diagnosis was made by history and physical, roentgenological and electrographic examinations. In addition, in 53 patients, special diagnostic procedures were carried out either for diagnosis or for evaluation of pulmonary hypertension and associated cardiovascular anomalies. Right cardiac catheterization was resorted to in 51 patients. In one of these patients catheterization was incorrectly interpreted [ventricular septal defect]. Retrograde aortogram was performed in two patients. In both cases the ductus itself was visualized on the x-ray film. An additional vascular anomaly, namely the persistent left superior vena cava, was confirmed by retrograde angiogram in one of them. In 5 cases the pulmonary arterial pressure was elevated well over 80 mmHg. In these instances,the operative mortality was 80% [4 out of 5 patients]. The management of patent ductus arteriosus when associated with severe pulmonary hypertension. and/or other cardiac anomalies is controversial. Opinions differ as to how to close the ductus and to repair the cardiac anomalies as well as to whether a one-staged or two-staged procedure should be resorted to. The author is of the that each case must be evaluated individually before any specific surgical treatment is ou.tlined. The literature on the subject is reviewed in this paper.

• Korean Journal of Remote Sensing
• /
• v.37 no.4
• /
• pp.665-685
• /
• 2021

This study focused on the a 20-year evaluation of the dynamism of critical thermal anomalies in Busan metropolitan area prompted by unusual infrastructural development and demographic growth rate. Archived Landsat thermal data derived-LST was the major input for UTFVI and hot spot analysis (Getis-Ord Gi^*). Results revealed that the surface urban heat island-affected area has gradually expanded overtime from 23.32% to 32.36%; while the critical positive thermal anomalies (level-3 hotspots) have also spatially increased from 19.88% in 2000 to 23.56% in 2020, recording a net LST difference of > 5℃ between the maximum level-3 hotspot and minimum level-3 coldspot each year. It is been observed that thermal conditions of Busan have gradually deteriorated with time, which is potentially inherent in the rate of urban expansion. Thus, this work serves as an eye-opener to powers that be, to think and act constructively towards a sustainable thermal conform for city dwellers.

• Smart Structures and Systems
• /
• v.29 no.1
• /
• pp.53-62
• /
• 2022

The deployment of advanced structural health monitoring (SHM) systems in large-scale civil structures collects large amounts of data. Note that these data may contain multiple types of anomalies (e.g., missing, minor, outlier, etc.) caused by harsh environment, sensor faults, transfer omission and other factors. These anomalies seriously affect the evaluation of structural performance. Therefore, the effective analysis and mining of SHM data is an extremely important task. Inspired by the deep learning paradigm, this study develops a novel generative adversarial network (GAN) and convolutional neural network (CNN)-based data anomaly detection approach for SHM. The framework of the proposed approach includes three modules : (a) A three-channel input is established based on fast Fourier transform (FFT) and Gramian angular field (GAF) method; (b) A GANomaly is introduced and trained to extract features from normal samples alone for class-imbalanced problems; (c) Based on the output of GANomaly, a CNN is employed to distinguish the types of anomalies. In addition, a dataset-oriented method (i.e., multistage sampling) is adopted to obtain the optimal sampling ratios between all different samples. The proposed approach is tested with acceleration data from an SHM system of a long-span bridge. The results show that the proposed approach has a higher accuracy in detecting the multi-pattern anomalies of SHM data.