Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Beanbonyka Rim"'
Autor:
Joonho Oh, Chanho Park, Hongchang Lee, Beanbonyka Rim, Younggyu Kim, Min Hong, Jiwon Lyu, Suha Han, Seongjun Choi
Publikováno v:
Diagnostics, Vol 13, Iss 9, p 1519 (2023)
The deep learning approach has recently attracted much attention for its outstanding performance to assist in clinical diagnostic tasks, notably in computer-aided solutions. Computer-aided solutions are being developed using chest radiography to iden
Externí odkaz:
https://doaj.org/article/7d4ba7f86d6a44769f17b73ef87c1d00
Publikováno v:
Diagnostics, Vol 12, Iss 4, p 915 (2022)
Chest X-ray radiographic (CXR) imagery enables earlier and easier lung disease diagnosis. Therefore, in this paper, we propose a deep learning method using a transfer learning technique to classify lung diseases on CXR images to improve the efficienc
Externí odkaz:
https://doaj.org/article/c89f6f1b48054c32a8e08e4f8dbfd756
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 9289 (2021)
In this study, we propose a multi-class classification method by learning lung disease images with Convolutional Neural Network (CNN). As the image data for learning, the U.S. National Institutes of Health (NIH) dataset divided into Normal, Pneumonia
Externí odkaz:
https://doaj.org/article/5592ace0c3134993b04f050ee74dc9bf
Publikováno v:
Sensors, Vol 21, Iss 21, p 7059 (2021)
One of the most common methods for diagnosing coronary artery disease is the use of the coronary artery calcium score CT. However, the current diagnostic method using the coronary artery calcium score CT requires a considerable time, because the radi
Externí odkaz:
https://doaj.org/article/acf5620e3b6543e8a480f1f167d1fd2d
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3121 (2021)
Semantic segmentation of large-scale outdoor 3D LiDAR point clouds becomes essential to understand the scene environment in various applications, such as geometry mapping, autonomous driving, and more. With an advantage of being a 3D metric space, 3D
Externí odkaz:
https://doaj.org/article/95968987cc3441aaa7d4d9881e120e7b
Publikováno v:
Sensors, Vol 21, Iss 8, p 2675 (2021)
Whole cardiac segmentation in chest CT images is important to identify functional abnormalities that occur in cardiovascular diseases, such as coronary artery disease (CAD) detection. However, manual efforts are time-consuming and labor intensive. Ad
Externí odkaz:
https://doaj.org/article/8f4e323f29fd40d9a9dac8cb11d89992
Publikováno v:
Sensors, Vol 20, Iss 4, p 969 (2020)
Deep Learning (DL), a successful promising approach for discriminative and generative tasks, has recently proved its high potential in 2D medical imaging analysis; however, physiological data in the form of 1D signals have yet to be beneficially expl
Externí odkaz:
https://doaj.org/article/77625a084045499da53b6a280a5ad27c
Autor:
Beanbonyka Rim1 rim.beanbonyka@sch.ac.kr, Junseob Kim1 20197015@sch.ac.k, Yoo-Joo Choi2 yjchoi@smit.ac.kr, Min Hong3 mhong@sch.ac.kr
Publikováno v:
Journal of Internet Computing & Services. Oct2020, Vol. 21 Issue 5, p21-29. 9p.
Autor:
Beanbonyka Rim1 rim.beanbonyka@sch.ac.kr, Nak-Jun Sung2 njsung@sch.ac.kr, Jun Ma3 majun@sch.ac.kr, Yoo-Joo Choi1 yjchoi@smit.ac.kr, Min Hong1 mhong@sch.ac.kr
Publikováno v:
Journal of Internet Computing & Services. Jun2020, Vol. 21 Issue 3, p113-121. 9p.
Publikováno v:
Multimedia Tools and Applications. 80:35809-35825
The AFIS (Automatic Fingerprint Identification System) which generally processes two steps: feature extraction and matching, has challenges with a large database of fingerprint images for the real-time application due to the huge number of comparison
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5863b239c8b4b3eb0d8557a6b5a5f2d6
https://doi.org/10.1007/s11042-020-09314-6
https://doi.org/10.1007/s11042-020-09314-6