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Variation in EBRT plan quality between centres

Variation in EBRT plan quality between centres Resea R ch h ighlights ST ONES IN bRIef Assessing kidney stone P a E d I a T r ICS composition using deep learning A standardized gynaecology curriculum is needed A pilot study published in BJU cystine stones were obtained A standardized gynaecology curriculum is needed for trainees International has shown the from a stone laboratory. At least in paediatric surgery according to the results of a survey of Canadian programme directors. In total, six of eight programme feasibility of deep learning to two images (surface and inner directors responded to the 27-question survey, which included assess kidney stone composition core) of dry stones were taken questions regarding the fellowship programme, surgical from digital photog raphs. using a DSLR camera fitted with practice, trainee exposure to paediatric gynaecology and The ability to accurately determine a macro lens. Each was processed envisioning a standardized gynaecology curriculum. Most stone composition using computer using randomly generated respondents felt that trainees had minimal or inadequate vision and deep learning could computer-automated cross-sectional training in imperforate hymens, Müllerian anomalies, vulvar abscesses, vaginal foreign bodies and labial adhesions. improve stone surgery, as automatic cropping. ResNet-101 was used as However, they asserted that trainees received http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nature Reviews Urology Springer Journals

Variation in EBRT plan quality between centres

Stone, Louise
Nature Reviews Urology , Volume 17 (4) – Apr 13, 2020
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Variation in EBRT plan quality between centres

Abstract

Resea R ch h ighlights ST ONES IN bRIef Assessing kidney stone P a E d I a T r ICS composition using deep learning A standardized gynaecology curriculum is needed A pilot study published in BJU cystine stones were obtained A standardized gynaecology curriculum is needed for trainees International has shown the from a stone laboratory. At least in paediatric surgery according to the results of a survey of Canadian programme directors. In total, six of eight programme feasibility of deep...
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References (1)

Publisher
Springer Journals
Copyright
Copyright © Springer Nature Limited 2020
ISSN
1759-4812
eISSN
1759-4820
DOI
10.1038/s41585-020-0306-z
Publisher site
See Article on Publisher Site

Abstract

Resea R ch h ighlights ST ONES IN bRIef Assessing kidney stone P a E d I a T r ICS composition using deep learning A standardized gynaecology curriculum is needed A pilot study published in BJU cystine stones were obtained A standardized gynaecology curriculum is needed for trainees International has shown the from a stone laboratory. At least in paediatric surgery according to the results of a survey of Canadian programme directors. In total, six of eight programme feasibility of deep learning to two images (surface and inner directors responded to the 27-question survey, which included assess kidney stone composition core) of dry stones were taken questions regarding the fellowship programme, surgical from digital photog raphs. using a DSLR camera fitted with practice, trainee exposure to paediatric gynaecology and The ability to accurately determine a macro lens. Each was processed envisioning a standardized gynaecology curriculum. Most stone composition using computer using randomly generated respondents felt that trainees had minimal or inadequate vision and deep learning could computer-automated cross-sectional training in imperforate hymens, Müllerian anomalies, vulvar abscesses, vaginal foreign bodies and labial adhesions. improve stone surgery, as automatic cropping. ResNet-101 was used as However, they asserted that trainees received

Journal

Nature Reviews Urology – Springer Journals

Published: Apr 13, 2020

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