Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jaeku Lee"'
Autor:
Eun Bok Baek, Jaeku Lee, Ji-Hee Hwang, Heejin Park, Byoung-Seok Lee, Yong-Bum Kim, Sang-Yeop Jun, Jun Her, Hwa-Young Son, Jae-Woo Cho
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Drug-induced liver injury (DILI) presents significant diagnostic challenges, and recently artificial intelligence-based deep learning technology has been used to predict various hepatic findings. In this study, we trained a set of Mask R-CNN
Externí odkaz:
https://doaj.org/article/749610fc311e4bb0957d5217b3f7aa2a
Autor:
Ji-Hee Hwang, Minyoung Lim, Gyeongjin Han, Heejin Park, Yong-Bum Kim, Jinseok Park, Sang-Yeop Jun, Jaeku Lee, Jae-Woo Cho
Publikováno v:
Laboratory Animal Research, Vol 39, Iss 1, Pp 1-8 (2023)
Abstract Background Liver fibrosis is an early stage of liver cirrhosis. As a reversible lesion before cirrhosis, liver failure, and liver cancer, it has been a target for drug discovery. Many antifibrotic candidates have shown promising results in e
Externí odkaz:
https://doaj.org/article/88af230462dc441eba45bab5fcfae931
Autor:
Ji-Hee Hwang, Minyoung Lim, Gyeongjin Han, Heejin Park, Yong-Bum Kim, Jinseok Park, Sang-Yeop Jun, Jaeku Lee, Jae-Woo Cho
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Artificial intelligence (AI)-based analysis has recently been adopted in the examination of histological slides via the digitization of glass slides using a digital scanner. In this study, we examined the effect of varying the staining color
Externí odkaz:
https://doaj.org/article/c00c0fa720cd4028a8027b570a3c56b2
Autor:
Eun Bok Baek, Ji-Hee Hwang, Heejin Park, Byoung-Seok Lee, Hwa-Young Son, Yong-Bum Kim, Sang-Yeop Jun, Jun Her, Jaeku Lee, Jae-Woo Cho
Publikováno v:
Diagnostics, Vol 12, Iss 6, p 1478 (2022)
Although drug-induced liver injury (DILI) is a major target of the pharmaceutical industry, we currently lack an efficient model for evaluating liver toxicity in the early stage of its development. Recent progress in artificial intelligence-based dee
Externí odkaz:
https://doaj.org/article/09310806fd1846049adf6af21f83b9f0
Autor:
Ji-Hee Hwang, Minyoung Lim, Gyeongjin Han, Heejin Park, Yong-Bum Kim, Jinseok Park, Sang-Yeop Jun, Jaeku Lee, Jae-Woo Cho
Publikováno v:
Toxicological Research.
Deep learning has recently become one of the most popular methods of image analysis. In non-clinical studies, several tissue slides are generated to investigate the toxicity of a test compound. These are converted into digital image data using a slid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::345b64aff0e7622bb48412e2c612b59b
https://doi.org/10.1007/s43188-023-00173-5
https://doi.org/10.1007/s43188-023-00173-5
Autor:
Ji-Hee Hwang, Hyun-Ji Kim, Heejin Park, Byoung-Seok Lee, Hwa-Young Son, Yong-Bum Kim, Sang-Yeop Jun, Jong-Hyun Park, Jaeku Lee, Jae-Woo Cho
Publikováno v:
Toxicologic pathology. 50(2)
Exponential development in artificial intelligence or deep learning technology has resulted in more trials to systematically determine the pathological diagnoses using whole slide images (WSIs) in clinical and nonclinical studies. In this study, we a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1251a7a0c541bf7ba170d83474aaa7a2
https://pubmed.ncbi.nlm.nih.gov/34866512
https://pubmed.ncbi.nlm.nih.gov/34866512
Autor:
Hun Seok Lee, Gyeong-Mi Kim, Do Hyung Kim, Jiyeon Ryu, Young Kee Shin, Jin-Soo Kim, Jaeku Lee
Publikováno v:
Cancer Research. 77:3917-3917
To achieve a complete remission of cancer is still challenging that most patients with solid cancer ultimately experience metastasis. Detection of circulating tumor cells (CTCs) from the peripheral blood is promising key to solve the cancer cell diss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8d300cdf7fda3f63f489cbd3c204155
https://doi.org/10.1158/1538-7445.am2017-3917
https://doi.org/10.1158/1538-7445.am2017-3917