Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Le, Tran – Anh"'
Autor:
Do Ngoc Anh, Dao Nguyen Hung, Tran Viet Tien, Vu Nhat Dinh, Vu Tung Son, Nguyen Viet Luong, Nguyen Thi Van, Nguyen Thi Nhu Quynh, Nguyen Van Tuan, Le Quoc Tuan, Nguyen Duy Bac, Nguyen Khac Luc, Le Tran Anh, Do Minh Trung
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background Vaginal candidiasis is frequent in women of reproductive age. Accurate identification Candida provides helpful information for successful therapy and epidemiology study; however, there are very limited data from the Vietnam have b
Externí odkaz:
https://doaj.org/article/a9f833ca463d427b9c8ec87166595e42
Publikováno v:
Current Medical Mycology, Vol 7, Iss 1, Pp 59-62 (2021)
Background and Purpose: Burn injuries are prone to infection caused by bacteria, fungi, or other pathogens. Fungal wound infection usually has non-specific clinical symptoms.Nevertheless, in some cases, the fungal burden is so substantial that can ea
Externí odkaz:
https://doaj.org/article/92f2f68bbfeb4460adde72e743b3d7de
Autor:
Dang, Le Tran Anh, Ngoc, Vong Duong, Thien Vu, Pham Cung Le, Truong, Nguyen Nhat, Bao, Pham The, Trinh, Tan Dat
Publikováno v:
International Journal of Intelligent Transportation Systems Research; Aug2024, Vol. 22 Issue 2, p374-389, 16p
Autor:
Que Anh Tram MD, Nguyen Thai Ngoc Minh MD, Do Ngoc Anh MD, Nguyen Nhu Lam MD, Tran Ngoc Dung MD, Ngo Thi Minh Chau MD, Le Tran-Anh MD
Publikováno v:
Journal of Investigative Medicine High Impact Case Reports, Vol 8 (2020)
A patient with extensive burn injuries was admitted to the National Hospital of Burns in Hanoi, Vietnam, and diagnosed with fungal wound infection by histological examination of skin biopsy samples. Fusarium solani was isolated and identified by anal
Externí odkaz:
https://doaj.org/article/5f550566f4f24f4c8ac1eba1c8a3e2d7
Autor:
Nguyen Duy Bac, Le Tran Anh, Le Bach Quang, Nguyen Khac Luc, Tran Thi Thanh Nga, Minoru Nagi, Miyazaki Yoshitsugu, Hoang Thi Thu Ha, Dang Duc Anh, Do Quyet, Do Ngoc Anh
Publikováno v:
Iranian Journal of Microbiology, Vol 11, Iss 2 (2019)
Background and Objectives: Identification of yeasts provides helpful information for appropriate administration of anti-fungal treatments; however, few reports from the Vietnam have been published. This study has been performed to find the prevalence
Externí odkaz:
https://doaj.org/article/0c663bc84db44df7acd32cf4c6279f59
Autor:
Nguyen Le Trung Hieu, Nguyen Thuy Minh Thu, Le Tran Anh Ngan, Le Thi Khanh Van, Do Phuoc Huy, Pham Thi Truc Linh, Nguyen Thi Quynh Mai, Huynh Thi Dieu Hien, Do Thi Thu Hang
Publikováno v:
American Journal of Medical Genetics Part A. 188:2048-2060
Developmental and epileptic encephalopathies (DEE) refers to a group of rare and severe neurodevelopmental disorders where genetic etiologies can play a major role. This study aimed to elucidate the genetic etiologies of a cohort of 53 Vietnamese pat
Autor:
Trinh Tan Dat, Le Tran Anh Dang, Nguyen Nhat Truong, Pham Cung Le Thien Vu, Vu Ngoc Thanh Sang, Pham Thi Vuong, Pham The Bao
Publikováno v:
Computer Systems Science and Engineering. 40:539-555
Autor:
Do Ngoc Anh, Le Tran Anh, Le Quoc Tuan, Nguyen Duy Bac, Tran Viet Tien, Vu Thi Binh Phuong, Tran Thanh Duong, Nguyen Khac Luc, Nguyen Ba Quang
Publikováno v:
Journal of Parasitology Research, Vol 2018 (2018)
Fascioliasis—a disease caused by Fasciola spp. (Platyhelminthes: Trematoda: Digenea)—is considered as the most important helminthic infection of bovine, sheep, and buffalo in Vietnam. The aim of this study is to detect the genotype of Fasciola sp
Externí odkaz:
https://doaj.org/article/eefdb15b4fcc43e395bbd073ec5c1f6f
Autor:
Trinh Tan Dat, Pham Cung Le Thien Vu, Nguyen Nhat Truong, Le Tran Anh Dang, Vu Ngoc Thanh Sang, Pham The Bao
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
A new modification of multi-CNN ensemble training is investigated by combining multiloss functions from state-of-the-art deep CNN architectures for leaf image recognition. We first apply the U-Net model to segment leaf images from the background to i
Autor:
Pham The Bao, Le Tran Anh Dang, Nguyen Duy Tam, Nguyen Nhat Truong, Pham Cung Le Thien Vu, Trinh Tan Dat
Publikováno v:
IAES International Journal of Artificial Intelligence (IJ-AI). 12:568
This paper presents an effective Vietnamese handwritten text recognition model by applying an improved convolutional recurrent neural networks (CRNNs) model to high school enrollment forms in Tay Ninh province, Vietnam. First, the proposed model extr