Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Chanon Puttanawarut"'
Autor:
Thitipong Sawapabmongkon, Pimolpun Changkaew, Chanon Puttanawarut, Puangpen Tangboonduangjit, Suphalak Khachonkham
Publikováno v:
Journal of Medical Physics, Vol 49, Iss 2, Pp 261-269 (2024)
Aims: The dosimetric leaf gap (DLG) is a parameter for correcting radiation transmission through the round leaf end of multileaf collimators. The purpose of this study was to determine and investigate the optimal DLG correction factor for 6 MV volume
Externí odkaz:
https://doaj.org/article/8f3a854330bf4a4dbeff6e58f06d133d
Publikováno v:
Informatics in Medicine Unlocked, Vol 49, Iss , Pp 101531- (2024)
Background and objective:: Recently, the rise of models based on deep neural networks (DNNs) has demonstrated enhanced effectiveness in survival analysis. However, deep learning dealing with survival analysis usually required specific architecture or
Externí odkaz:
https://doaj.org/article/733a0c5a0ded4b1ba4f3edb139fe7fae
Autor:
Chanon Puttanawarut, Nat Sirirutbunkajorn, Suphalak Khachonkham, Poompis Pattaranutaporn, Yodchanan Wongsawat
Publikováno v:
Radiation Oncology, Vol 16, Iss 1, Pp 1-9 (2021)
Abstract Objective The purpose of this study was to develop a model using dose volume histogram (DVH) and dosiomic features to predict the risk of radiation pneumonitis (RP) in the treatment of esophageal cancer with radiation therapy and to compare
Externí odkaz:
https://doaj.org/article/2957cca70596408389c7c90987e36a79
Autor:
Chanon Puttanawarut, Nat Sirirutbunkajorn, Narisara Tawong, Suphalak Khachonkham, Poompis Pattaranutaporn, Yodchanan Wongsawat
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesThe purpose of this study was to investigate the stability of dosiomic features under random interfractional error. We investigated the differences in the values of features with different fractions and the error in the values of dosiomic f
Externí odkaz:
https://doaj.org/article/2c94288702094c6b9b796115231a0698
Autor:
Chanon Puttanawarut, Nat Sirirutbunkajorn, Narisara Tawong, Chuleeporn Jiarpinitnun, Suphalak Khachonkham, Poompis Pattaranutaporn, Yodchanan Wongsawat
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
PurposeThe aim was to investigate the advantages of dosiomic and radiomic features over traditional dose-volume histogram (DVH) features for predicting the development of radiation pneumonitis (RP), to validate the generalizability of dosiomic and ra
Externí odkaz:
https://doaj.org/article/3a4ac9290e764491811e2f20840fcd5b
Autor:
Nat Sirirutbunkajorn, P. Pattaranutaporn, Suphalak Khachonkham, Chanon Puttanawarut, Yodchanan Wongsawat
Publikováno v:
Radiation Oncology (London, England)
Radiation Oncology, Vol 16, Iss 1, Pp 1-9 (2021)
Radiation Oncology, Vol 16, Iss 1, Pp 1-9 (2021)
Objective The purpose of this study was to develop a model using dose volume histogram (DVH) and dosiomic features to predict the risk of radiation pneumonitis (RP) in the treatment of esophageal cancer with radiation therapy and to compare the perfo