Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Thakerng Wongsirichot"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Chronic kidney disease is a prevalent global health issue, particularly in advanced stages requiring dialysis. Vascular access (VA) quality is crucial for the well-being of hemodialysis (HD) patients, ensuring optimal blood transf
Externí odkaz:
https://doaj.org/article/f453a44d8fa0424285d8083598cbe81f
Autor:
Thanakorn Phumkuea, Thakerng Wongsirichot, Kasikrit Damkliang, Asma Navasakulpong, Jarutas Andritsch
Publikováno v:
Tomography, Vol 9, Iss 6, Pp 2233-2246 (2023)
This study introduces a Multi-Stage Automated Classification (MSTAC) system for COVID-19 chest X-ray (CXR) images, utilizing stacked Convolutional Neural Network (CNN) models. Suspected COVID-19 patients often undergo CXR imaging, making it valuable
Externí odkaz:
https://doaj.org/article/39b0b4d6bb184d55bf26af6e0590c5f3
Publikováno v:
Journal of International Medical Research, Vol 52 (2024)
Objective To develop and evaluate a novel feature selection technique, using photoplethysmography (PPG) sensors, for enhancing the performance of deep learning models in classifying vascular access quality in hemodialysis patients. Methods This cross
Externí odkaz:
https://doaj.org/article/fcc108bd9f5a46c28d32a8c6e2838cb0
Autor:
Kasikrit Damkliang, Paramee Thongsuksai, Kanita Kayasut, Thakerng Wongsirichot, Chanwit Jitsuwan, Tarathep Boonpipat
Publikováno v:
PeerJ Computer Science, Vol 9, p e1767 (2023)
An accurate determination of the Gleason Score (GS) or Gleason Pattern (GP) is crucial in the diagnosis of prostate cancer (PCa) because it is one of the criterion used to guide treatment decisions for prognostic-risk groups. However, the manually de
Externí odkaz:
https://doaj.org/article/94849c86be894714b06e6033321a10e7
Publikováno v:
JMIR Formative Research, Vol 7, p e42324 (2023)
BackgroundThe COVID-19 pandemic has raised global concern, with moderate to severe cases displaying lung inflammation and respiratory failure. Chest x-ray (CXR) imaging is crucial for diagnosis and is usually interpreted by experienced medical specia
Externí odkaz:
https://doaj.org/article/ca5a3c29debe4b4195abd0f903ca3556
Autor:
Ratno Widoyo, Defriman Djafri, Ade Suzana Eka Putri, Finny Fitry Yani, R Lia Kusumawati, Thakerng Wongsirichot, Virasakdi Chongsuvivatwong
Publikováno v:
Tropical Medicine and Infectious Disease, Vol 8, Iss 1, p 31 (2023)
This study aimed to assess the percentage of confirmed drug-sensitive (DS) TB and drug-resistant (DR) TB patients who were missing in the national treatment registration in North Sumatra and West Sumatra, where treatment services for DR-TB in North S
Externí odkaz:
https://doaj.org/article/a5b71a58152648e389338bdf8fa0f75a
Publikováno v:
Biomedical Engineering: Applications, Basis and Communications.
Malaria is a life-threatening mosquito-borne disease. Recently, the number of malaria cases has increased worldwide, threatening vulnerable populations. Malaria is responsible for a high rate of morbidity and mortality in people all around the world.
Autor:
Supaporn Dissaneevate, Thakerng Wongsirichot, Pittaya Siriwat, Nutchaya Jintanapanya, Uakarn Boonyakarn, Waricha Janjindamai, Anucha Thatrimontrichai, Gunlawadee Maneenil
Publikováno v:
International Journal of Innovative Research and Scientific Studies. 5:10-17
Neonatal Hyperbilirubinemia, or jaundice, is a harmful disease found in newborns, a symptom of which is the yellowish discoloration of the skin. Visual examination is most frequently used for screening of Hyperbilirubinemia in neonates, however, bloo
BACKGROUND The COVID-19 pandemic has raised global concern, with moderate to severe cases displaying lung inflammation and respiratory failure. Chest x-ray (CXR) imaging is crucial for diagnosis and is usually interpreted by experienced medical speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c5c9a1a2597f87a74c42a442f046f1e
https://doi.org/10.2196/preprints.42324
https://doi.org/10.2196/preprints.42324
Background: COVID-19 diagnoses during the pandemic require fast and accurate identification of chest X-Ray (CXR) images. Image processing techniques are critical in accurately diagnosing diseases. This study establishes a method for image analysis an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b45bbf7c51a887aec560165941de775c
https://doi.org/10.21203/rs.3.rs-1512775/v1
https://doi.org/10.21203/rs.3.rs-1512775/v1