Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Vo Thi Hong Tuyet"'
Autor:
Vo Thi Hong Tuyet
Publikováno v:
Ho Chi Minh City Open University Journal of Science - Engineering and Technology, Vol 8, Iss 1, Pp 106-115 (2018)
Medical images are useful for the treatment process. They contain a lot of information on displaying abnormalities in your body. The contour of medical images is a matter of interest. In there, edge detection is a process prepared for boundaries. The
Externí odkaz:
https://doaj.org/article/e463cdd89a8843129dcf1ee5c03a2ca3
Autor:
Vo Thi Hong Tuyet
Publikováno v:
Ho Chi Minh City Open University Journal of Science - Engineering and Technology, Vol 6, Iss 2, Pp 89-96 (2016)
In reality, the nature images have the noise values because of many reasons. These values make the quality of images to decrease. Wavelet transform is proposed for denoising and it gives the better results. But with curvelet transform, one of the new
Externí odkaz:
https://doaj.org/article/479e73c5794b4e3ab7a8a15be43343dd
Akademický článek
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Autor:
Vo Thi Hong Tuyet, Nguyen Thanh Binh
Publikováno v:
International Journal of Online & Biomedical Engineering; 2023, Vol. 19 Issue 10, p140-155, 16p
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 12, Iss 1 (2022)
Retinal vessel images give a wide range of the abnormal pixels of patients. Therefore, classifying the diseases depending on fundus images is a popular approach. This paper proposes a new method to classify diabetic retinopathy in retinal blood vesse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a628e2bc0ca33963890d86f26475080
https://doi.org/10.48084/etasr.4679
https://doi.org/10.48084/etasr.4679
Autor:
Vo Thi Hong Tuyet1 tuyet.vth@ou.edu.vn, Nguyen Thanh Binh2,3
Publikováno v:
TEM Journal. Nov2020, Vol. 9 Issue 4, p1348-1356. 9p.
Publikováno v:
Mobile Networks and Applications. 26:1300-1310
In traditional text based medical image retrieval system, it is hard to find visually similar images in large medical image database. Content-based image retrieval is developed to retrieve similar images and it is based on visual attributes describin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af9e92eb67cb5a45561cd63aeed5e82d
https://doi.org/10.1007/s11036-021-01762-0
https://doi.org/10.1007/s11036-021-01762-0
Autor:
Vo Thi Hong Tuyet
Publikováno v:
Ho Chi Minh City Open University Journal of Science-Engineering and Technology, Vol 8, Iss 1, Pp 106-115 (2018)
Medical images are useful for the treatment process. They contain a lot of information on displaying abnormalities in your body. The contour of medical images is a matter of interest. In there, edge detection is a process prepared for boundaries. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f73604c8767c58a951c7131f3d5b221
https://doi.org/10.46223/hcmcoujs.tech.en.8.1.910.2018
https://doi.org/10.46223/hcmcoujs.tech.en.8.1.910.2018
Publikováno v:
International Journal of Online and Biomedical Engineering, Vol 18, Iss 02 (2022)
Early detection of retinopathy plays an important role in the care of people with diabetes. Classification of diabetic retinopathy in fundus images is very challenging because the blood vessels in the retinal images are too small. Morphology of objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::498d18e092c3757feed7cd9d839e546a
https://online-journals.org/index.php/i-joe/article/view/27605
https://online-journals.org/index.php/i-joe/article/view/27605
Publikováno v:
IFMBE Proceedings ISBN: 9783030755058
Medical imaging is useful in the diagnosis and treatment of diseases. A wide range of pathologies have been discovered by identifying abnormalities of the object’s boundary in the medical image. Almost tokens of illness are shown in salient regions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e07260f1f546accbffaf5ae7827cd3c4
https://doi.org/10.1007/978-3-030-75506-5_58
https://doi.org/10.1007/978-3-030-75506-5_58
