Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Trongtum Tongdee"'
Publikováno v:
European Journal of Radiology Open, Vol 13, Iss , Pp 100593- (2024)
Background: Artificial intelligence (AI) has been proven useful for the assessment of tubes and lines on chest radiographs of general patients. However, validation on intensive care unit (ICU) patients remains imperative. Methods: This retrospective
Externí odkaz:
https://doaj.org/article/eadeca859e2a46668506a5afc21d4034
Autor:
Trongtum Tongdee, Worapan Kusakunniran, Thanongchai Siriapisith, Pairash Saiviroonporn, Thanandon Imaromkul, Pakorn Yodprom
Publikováno v:
ICT Express, Vol 9, Iss 3, Pp 313-319 (2023)
Classifying x-ray images into individual classes of body parts is needed, when they are mixed without proper labels. This paper proposes a hierarchical training of convolutional neural network (CNN)-based framework, for classifying chest posterior–
Externí odkaz:
https://doaj.org/article/c71f55e3c6f64a609bea5a3f809899c4
Autor:
Somrach Thamtorawat, Rujira Patanawanitkul, Satit Rojwatcharapibarn, Walailak Chaiyasoot, Trongtum Tongdee, Jirawadee Yodying, Sukrit Sorotpinya
Publikováno v:
International Journal of Hyperthermia, Vol 39, Iss 1, Pp 751-757 (2022)
Objective To evaluate the biliary complication rates and efficacy of peribiliary tumor ablation using irreversible electroporation (IRE) or radiofrequency ablation (RFA).Material and methods This is a retrospective study of 42 consecutive patients wi
Externí odkaz:
https://doaj.org/article/35727c2dfc9645d49f6544a518569b54
Autor:
Pairash Saiviroonporn, Suwimon Wonglaksanapimon, Warasinee Chaisangmongkon, Isarun Chamveha, Pakorn Yodprom, Krittachat Butnian, Thanogchai Siriapisith, Trongtum Tongdee
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background Artificial intelligence, particularly the deep learning (DL) model, can provide reliable results for automated cardiothoracic ratio (CTR) measurement on chest X-ray (CXR) images. In everyday clinical use, however, this technology
Externí odkaz:
https://doaj.org/article/a6a92c269dce456986863ae07fed0864
Autor:
Somrach Thamtorawat, Torpong Claimon, Satit Rojwatcharapibarn, Pradesh Ghirnire, Trongtum Tongdee, Jirawadee Yodying, Walailak Chaiyasoot
Publikováno v:
Siriraj Medical Journal, Vol 73, Iss 8, Pp 541-548 (2021)
Objective: To evaluate the outcome of radiofrequency (RF) ablation using expandable electrodes in the treatment of hepatocellular carcinoma (HCC) located in the caudate lobe. Materials and Methods: Between January 2011 and April 2017, 29 consecutive
Externí odkaz:
https://doaj.org/article/2a32f9043b934dfcb5fa4de31dc9b304
Autor:
Pairash Saiviroonporn, Kanchanaporn Rodbangyang, Trongtum Tongdee, Warasinee Chaisangmongkon, Pakorn Yodprom, Thanogchai Siriapisith, Suwimon Wonglaksanapimon, Phakphoom Thiravit
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Artificial Intelligence (AI) is a promising tool for cardiothoracic ratio (CTR) measurement that has been technically validated but not clinically evaluated on a large dataset. We observed and validated AI and manual methods for C
Externí odkaz:
https://doaj.org/article/43771ac3ffc84d769f5417e801d17ea3
Publikováno v:
Siriraj Medical Journal, Vol 73, Iss 6, Pp 391-398 (2021)
Objective: To report the survival outcome and prognostic factors in the patients with spontaneously ruptured hepatocellular carcinoma treated by transarterial embolization compared with conservative treatment. Materials and Methods: A retrospective r
Externí odkaz:
https://doaj.org/article/d8ed6399c20c496fbc925706ceea8b08
Autor:
Warasinee Chaisangmongkon, Isarun Chamveha, Tretap Promwiset, Pairash Saiviroonporn, Trongtum Tongdee
Publikováno v:
IEEE Access, Vol 9, Pp 110287-110298 (2021)
Recent advances in machine learning have made it possible to create automated systems for medical image diagnosis. Cardiothoracic ratio (CTR) measurement, a common procedure for assessing cardiac abnormality in chest radiographs, has been investigate
Externí odkaz:
https://doaj.org/article/a9452a1a17d24e92a083dc705e457fed
Autor:
Nattawut Puangpunngam, Nathakorn Supokaivanich, Chanean Ruangsetakit, Chumpol Wongwanit, Nuttawut Sermsathanasawadi, Khamin Chinsakchai, Suteekhanit Hahtapornsawan, Kiattisak Hongku, Pramook Mutirangura, Somrach Thamtorawat, Satit Rojwatcharapibarn, Walailak Chaiyasoot, Jirawadee Yodying, Trongtum Tongdee
Publikováno v:
Siriraj Medical Journal, Vol 71, Iss 6 (2019)
Objective: The aim of this study was to investigate the procedure success rate, one-year primary patency rate, one-year secondary patency rate, and complications compared between endovascular therapy and open surgical thrombectomy for treatment of th
Externí odkaz:
https://doaj.org/article/26f8e1b939d84c728c27bee24fd520ee
Autor:
Walailak Chaiyasoot, Thana Pongpanumaspaisan, Trongtum Tongdee, Somrach Thamtorawat, Satit Rojwatcharapibarn
Publikováno v:
Siriraj Medical Journal, Vol 68, Iss 6, Pp 332-338 (2016)
Objective: The purpose of this study was to report our experience with 35 patients, presenting with primary or secondary bone tumors, who underwent pre-operative transarterial embolization in our institution. Methods: Pre-operative transarterial em
Externí odkaz:
https://doaj.org/article/db03ef6cb08549b4b1f79c319aac840d