Zobrazeno 1 - 6 of 6 pro vyhledávání: '"Leang Sim Nguon"'
1
Akademický článek
Deep Learning-Based Differentiation between Mucinous Cystic Neoplasm and Serous Cystic Neoplasm in the Pancreas Using Endoscopic Ultrasonography
Autor: Leang Sim Nguon, Kangwon Seo, Jung-Hyun Lim, Tae-Jun Song, Sung-Hyun Cho, Jin-Seok Park, Suhyun Park
Publikováno v: Diagnostics, Vol 11, Iss 6, p 1052 (2021)
Mucinous cystic neoplasms (MCN) and serous cystic neoplasms (SCN) account for a large portion of solitary pancreatic cystic neoplasms (PCN). In this study we implemented a convolutional neural network (CNN) model using ResNet50 to differentiate betwe
Externí odkaz: https://doaj.org/article/236b7e9d0bc94afcb5a2cc1417e7c241
Zobrazit plný text záznamu
3
Semantic Segmentation of Pancreatic Cancer in Endoscopic Ultrasound Images Using Deep Learning Approach
Autor: Kangwon Seo, Jung-Hyun Lim, Jeongwung Seo, Leang Sim Nguon, Hongeun Yoon, Jin-Seok Park, Suhyun Park
Publikováno v: Cancers; Volume 14; Issue 20; Pages: 5111
Endoscopic ultrasonography (EUS) plays an important role in diagnosing pancreatic cancer. Surgical therapy is critical to pancreatic cancer survival and can be planned properly, with the characteristics of the target cancer determined. The physical c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::139e100c413faaba09a45b3cc6f3378b
Zobrazit plný text záznamu
4
Vascular wall motion detection models based on long short-term memory in plane-wave-based ultrasound imaging
Autor: Jeongwung Seo, Leang Sim Nguon, Suhyun Park
Publikováno v: Physics in Medicine & Biology. 68:075005
Objective. Vascular wall motion can be used to diagnose cardiovascular diseases. In this study, long short-term memory (LSTM) neural networks were used to track vascular wall motion in plane-wave-based ultrasound imaging. Approach. The proposed LSTM
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6fc84ebb9065ec36e8e0a001ef0227b8
https://doi.org/10.1088/1361-6560/acc238
Zobrazit plný text záznamu
5
Reconstruction for plane-wave ultrasound imaging using modified U-Net-based beamformer
Autor: Leang Sim Nguon, Jungwung Seo, Kangwon Seo, Yeji Han, Suhyun Park
Publikováno v: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 98
An image reconstruction method that can simultaneously provide high image quality and frame rate is necessary for diagnosis on cardiovascular imaging but is challenging for plane-wave ultrasound imaging. To overcome this challenge, an end-to-end ultr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92f10a5d89f550b9be86bd93516127ee
https://pubmed.ncbi.nlm.nih.gov/35561639
Zobrazit plný text záznamu
6
Deep Learning-Based Differentiation between Mucinous Cystic Neoplasm and Serous Cystic Neoplasm in the Pancreas Using Endoscopic Ultrasonography
Autor: Jung Hyun Lim, Suhyun Park, Leang Sim Nguon, Jin-Seok Park, Sung Hyun Cho, Kangwon Seo, Tae-Jun Song
Publikováno v: Diagnostics, Vol 11, Iss 1052, p 1052 (2021)
Diagnostics
Volume 11
Issue 6
Mucinous cystic neoplasms (MCN) and serous cystic neoplasms (SCN) account for a large portion of solitary pancreatic cystic neoplasms (PCN). In this study we implemented a convolutional neural network (CNN) model using ResNet50 to differentiate betwe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4667dd328de916954ff40aee8c4b4440
https://doi.org/10.3390/diagnostics11061052
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje