Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sophie O'Doherty"'
Publikováno v:
Japanese Journal of Radiology. 40:1290-1299
To compare the performances of machine learning (ML) and deep learning (DL) in improving the quality of low dose (LD) lung cancer PET images and the minimum counts required.33 standard dose (SD) PET images, were used to simulate LD PET images at seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bf9772d41adecd84fef9b8840408020
https://doi.org/10.1007/s11604-022-01311-z
https://doi.org/10.1007/s11604-022-01311-z
Autor:
Bernice W. Teo, Ying-Hwey Nai, Yee Liang Thian, Mary C. Stephenson, Chun Kit Wong, Anthonin Reilhac, Edmund Chiong, Koby Yi Wei Chua, Nadya L. Tan, Sophie O'Doherty, Joshua D. Schaefferkoetter
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2020 (2020)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Prostate segmentation in multiparametric magnetic resonance imaging (mpMRI) can help to support prostate cancer diagnosis and therapy treatment. However, manual segmentation of the prostate is subjective and time-consuming. Many deep learning monomod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c4b59b4b950df6f645579723d44d35a
https://doi.org/10.1155/2020/8861035
https://doi.org/10.1155/2020/8861035
Autor:
John J. Totman, Ying-Hwey Nai, Anthonin Reilhac, Daniel Fakhry-Darian, Josh Schaefferkoetter, David W. Townsend, Teng-Hwee Tan, Sophie O'Doherty, Arvind K. Sinha, Maurizio Conti, Ivan Weng Keong Tham, Daniel C. Alexander
Publikováno v:
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 81
Purpose To conduct a simplified lesion-detection task of a low-dose (LD) PET-CT protocol for frequent lung screening using 30% of the effective PETCT dose and to investigate the feasibility of increasing clinical value of low-statistics scans using m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65301aa98d9cad8326643df9a43133eb
https://pubmed.ncbi.nlm.nih.gov/33341375
https://pubmed.ncbi.nlm.nih.gov/33341375
Autor:
Edmund Chiong, Sophie O'Doherty, Mary C. Stephenson, Nadya L. Tan, Bernice W. Teo, Anthonin Reilhac, Ying-Hwey Nai, Yee Liang Thian
Publikováno v:
Computers in Biology and Medicine. 134:104497
Nine previously proposed segmentation evaluation metrics, targeting medical relevance, accounting for holes, and added regions or differentiating over- and under-segmentation, were compared with 24 traditional metrics to identify those which better c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2bdefc18dd6643c4850aee14e948d26
https://doi.org/10.1016/j.compbiomed.2021.104497
https://doi.org/10.1016/j.compbiomed.2021.104497