Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jaeyong Kang"'
Autor:
Jaeyong Kang, Jeonghwan Gwak
Publikováno v:
IEEE Access, Vol 8, Pp 100010-100012 (2020)
In the above-named article, we explored the ensemble model using two Mask R-CNNs with the backbones consisting of ResNet50 and ResNet101, respectively, for polyp segmentation in colonoscopy images. The proposed ensemble method has two main stages. Fi
Externí odkaz:
https://doaj.org/article/d7665ddd84dc4d3c9a2153db12093de6
Autor:
Jaeyong Kang, Jeonghwan Gwak
Publikováno v:
IEEE Access, Vol 7, Pp 26440-26447 (2019)
Colorectal cancer is the second most frequently diagnosed cancer in women and the third most frequently diagnosed cancer in men. At least 80%-95% of the colorectal cancers are evolved from intestinal polyps. Although colonoscopy is regarded as the mo
Externí odkaz:
https://doaj.org/article/aaa661b245cb45b9a63b33c7ec8c91ce
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 9290 (2021)
Detecting anomalies in the Brake Operating Unit (BOU) braking system of metro trains is very important for trains’ reliability and safety. However, current periodic maintenance and inspection cannot detect anomalies at an early stage. In addition,
Externí odkaz:
https://doaj.org/article/f584b224ee23466daccfe7a44f8ace87
Publikováno v:
Sensors, Vol 21, Iss 6, p 2222 (2021)
Brain tumor classification plays an important role in clinical diagnosis and effective treatment. In this work, we propose a method for brain tumor classification using an ensemble of deep features and machine learning classifiers. In our proposed fr
Externí odkaz:
https://doaj.org/article/0671de7043e147548bee84e5686ddef7
Autor:
Jaeyong Kang, Jeonghwan Gwak
Publikováno v:
Mathematics, Vol 8, Iss 10, p 1652 (2020)
In recent years, deep learning models have been used successfully in almost every field including both industry and academia, especially for computer vision tasks. However, these models are huge in size, with millions (and billions) of parameters, an
Externí odkaz:
https://doaj.org/article/326aa5738ac64e40a5df0420499451bc
Publikováno v:
IEEE Sensors Journal. 23:10041-10053
Autor:
Jeonghwan Gwak, Jaeyong Kang
Publikováno v:
Multimedia Tools and Applications. 81:22355-22377
Automatic classification of fruit freshness plays an important role in the agriculture industry. In this work, we propose an ensemble model that combines the bottleneck features of two multi-task deep convolutional neural networks with different arch
Publikováno v:
Journal of Medical Imaging and Health Informatics. 10:2532-2542
A large number of studies that use artificial intelligence (AI) methodologies to analyze medical imaging and support computer-aided diagnosis have been conducted in the biomedical engineering domain. Owing to the advances in dental diagnostic X-ray s
Publikováno v:
Turkish Journal of Biochemistry. 45:681-688
Objectives Breast cancer (BC) is the most commonly diagnosed cancer in women worldwide with a high mortality rate, despite early detection and treatment. Spindle and kinetochore-associated complex subunit 3 (SKA3) is closely correlated with patient o
Autor:
Byung-Ha Kang, Sungguan Hong, Young-Jin Seo, Seungwoo Hong, Seonyeong Jo, Kwang-Hoon Kong, Jaeyong Kang, Suhyun Park, Hansaem Kim, Hyangsoon Noh
Publikováno v:
Journal of Agricultural and Food Chemistry. 68:2183-2192
Obesity is a global chronic disease linked to various diseases. Increased consumption of added sugars, especially in beverages, is a key contributor to the obesity epidemic. It is essential to reduce or replace sugar intake with low-calorie sweetener