• Journal of Korean Foot and Ankle Society
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• v.20 no.1
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• pp.1-5
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• 2016

Flatfoot is defined as loss of medial arch with hindfoot valgus, but normal condition is obscure due to wide individual variance. Loss or decreasing of medial longitudinal arch with radiographic image is clinically diagnosed as flatfoot. Flatfoot without symptoms is not an indication for treatment. The etiologies of flatfoot are congenital cause, hypermobility, tarsal coalition, neuromuscular disease, post-traumatic deformity, Charcot arthropathy, and posterior tibial tendon dysfuction. The flatfoot is classified as congenital and acquired, flexible, and rigid. The diagnosis is made by physical examination and radiographic findings. In particular, the posterior tibial tendon dysfunction is known as adult acquired flatfoot.

• Genomics & Informatics
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• v.17 no.3
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• pp.30.1-30.4
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• 2019

Neuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool for cancer diagnosis and subtype classification. However, no attempts have yet been made to apply deep learning using gene expression to neuroblastoma classification, although deep learning has been applied to cancer diagnosis using image data. Taking the International Neuroblastoma Staging System stages as multiple classes, we designed a deep neural network using the gene expression patterns and stages of neuroblastoma patients. Despite a small patient population (n = 280), stage 1 and 4 patients were well distinguished. If it is possible to replicate this approach in a larger population, deep learning could play an important role in neuroblastoma staging.

• Imaging Science in Dentistry
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• v.42 no.3
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• pp.191-195
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• 2012

A case of hemifacial hyperplasia that presented with muscular, skeletal, and dental hyperplasia along with lipomatous infiltration was described. Advanced imaging was useful in identifying the lipomatous infiltration present in the lesion, which raises the possibility of lipomatosis having a diverse presentation in hemifacial hyperplasia. As there was a scarcity of related literature in the field of dentomaxillofacial radiology, this report would make us familiar with its computed tomographic and magnetic resonance image findings.

• The Journal of the Korean dental association
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• v.54 no.9
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• pp.704-711
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• 2016

Radiologic images in dentistry are essential to perform the diagnosis, treatment, and tracking process of prognosis, thus the ability of accurate evaluation in the diagnostic images is requested for dental clinician. Radiologic interpretation means recognition of a normality and an abnormality and to report the possible diagnosis and differential diagnosis list. Therefore, dental clinicians should be familiar with the basic principle of interpretation of intraoral and extraoral radiographic images primarily used in dental clinics. Recently, dental cone beam CT is widely used for diagnositc process, thus understanding the three dimensional images is requested. The objective of this manuscript is to help the dental clinicians to interpret accurately the diagnostic images by introducing the basic principles of the step by step analytic process in the appearance of a lesion.

• Journal of Chest Surgery
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• v.28 no.7
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• pp.698-703
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• 1995

Dextrocardia means right-sided position of the heart in the chest irrespective of the cause. For the absolute diagnosis of the dextrocardia, the segmental analysis of heart is necessary. Once the segmental analysis of the dextrocardia is made, it is often relatively easy to identify the presence of any associated defects based on conventional methods including physical examination, EKG, echocardiography, and angiocardiography. Two cases of dextrocardia with congenital heart disease were treated surgically.A eleven - months old boy was operated under diagnosis of ASD, VSD, and bilateral SVC with mirror - image dextrocardia {I,L,I} by primary closure of ASD and VSD.A twenty-four months old girl was operated under diagnosis of ASD, VSD, and PS with corrected TGA {I,D,D} by primary closure of ASD, VSD and dilatation of pulmonary stenosis. Both of them were discharged healthily after operation.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.49 no.1
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• pp.49-52
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• 2023

Osteoblastoma is a rare benign neoplasm formed by osteoid tissue and well-vascularized bone that occurs mainly in children and adolescents. It appears primarily in the long bones, vertebral column, and small bones of the hands and feet, and not typically in the skull and maxillary bones. The purpose of this study is to present the case of an 8-year-old girl with a diagnosis of right mandibular osteoblastoma and a review of the relevant literature. The goals of treatment were to preserve dental occlusion, masticatory function and facial symmetry while minimizing the effects on patient body image and quality of life. Osteoblastoma, although it is benign, can be aggressive, and its treatment will depend on the timing of diagnosis, size and location. Early diagnosis is essential to avoid not only radical surgery as in the case presented, but also to help minimize the risk of possible relapse and potential malignancy of a benign osteoblastoma.

• Journal of Digestive Cancer Research
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• v.10 no.2
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• pp.56-64
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• 2022

Narrow-band imaging (NBI) is the most widely used image-enhanced endoscopic technique. The superficial microanatomy of gastric mucosa can be visualized when used with a magnifying endoscopy with narrow-band imaging (ME-NBI). The diagnostic criteria for early gastric cancer (EGC), using the classification system for microvascular and microsurface pattern of ME-NBI, have been developed, and their usefulness has been proven in the differential diagnosis of small depressed cancer from focal gastritis and in lateral extent delineation of EGC. Some studies reported on the prediction of histologic differentiation and invasion depth of gastric cancer using ME-NBI; however, its application is limited in clinical practice, and further well-designed studies are necessary. Clinicians should understand the ME-NBI classification system and acquire appropriate diagnostic skills through various experiences and training to improve the quality of endoscopy for EGC diagnosis.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.27 no.4
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• pp.54-61
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• 2013

UV-IR camera is being used for predictive maintenance of high voltage equipment together with measurement of temperature on localized heat and corona discharge. This paper was suggested the judgement method that is the discharge count, UV image pattern and discharge matching rate to apply the UV-IR camera on power facility. The discharge count method is counted by UV image pixel value. the UV image pattern method is determined by the UV image shape using neural network algorithm method, separated by Sunflower, Jellyfish, Ameba. The UV discharge matching is compare the breakdown the UV image size and measuring UV image size according to distance.

• The Journal of the Korea Contents Association
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• v.14 no.3
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• pp.11-21
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• 2014

Multi-scale image segmentation is important in many applications such as image stylization and medical diagnosis. This paper proposes a novel segmentation algorithm based on MSER(maximally stable extremal region) which captures multi-scale structure and is stable and efficient. The algorithm collects MSERs and then partitions the image plane by redrawing MSERs in specific order. To denoise and smooth the region boundaries, hierarchical morphological operations are developed. To illustrate effectiveness of the algorithm's multi-scale structure, effects of various types of LOD control are shown for image stylization. The proposed technique achieves this without time-consuming multi-level Gaussian smoothing. The comparisons of segmentation quality and timing efficiency with mean shift-based Edison system are presented.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.147-153
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• 2018

In this paper, we propose an efficient WBC 14-Diff classification which performs using the WBC-ResNet-152, a type of CNN model. The main point of view is to use Super-pixel for the segmentation of the image of WBC, and to use ResNet for the classification of WBC. A total of 136,164 blood image samples (224x224) were grouped for image segmentation, training, training verification, and final test performance analysis. Image segmentation using super-pixels have different number of images for each classes, so weighted average was applied and therefore image segmentation error was low at 7.23%. Using the training data-set for training 50 times, and using soft-max classifier, TPR average of 80.3% for the training set of 8,827 images was achieved. Based on this, using verification data-set of 21,437 images, 14-Diff classification TPR average of normal WBCs were at 93.4% and TPR average of abnormal WBCs were at 83.3%. The result and methodology of this research demonstrates the usefulness of artificial intelligence technology in the blood cell image classification field. WBC-ResNet-152 based morphology approach is shown to be meaningful and worthwhile method. And based on stored medical data, in-depth diagnosis and early detection of curable diseases is expected to improve the quality of treatment.