Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rune Wetteland"'
Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning
Autor:
Rune Wetteland, Vebjorn Kvikstad, Trygve Eftestol, Erlend Tossebro, Melinda Lillesand, Emiel A. M. Janssen, Kjersti Engan
Publikováno v:
IEEE Access, Vol 9, Pp 115813-115825 (2021)
The most common type of bladder cancer is urothelial carcinoma, which is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, mainly based on grade and st
Externí odkaz:
https://doaj.org/article/775b89b467b842b2942c635122622d82
Autor:
Rune Wetteland MS, Kjersti Engan PhD, Trygve Eftestøl PhD, Vebjørn Kvikstad MD, Emiel A. M. Janssen PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 19 (2020)
In pathology labs worldwide, we see an increasing number of tissue samples that need to be assessed without the same increase in the number of pathologists. Computational pathology, where digital scans of histological samples called whole-slide image
Externí odkaz:
https://doaj.org/article/085bdf798d5642988435271f42ae12c8
Publikováno v:
ISPA
In many image domains using multilevel gigapixel images, each image level may reveal different information. E.g., a histological image will reveal specific diagnostic information at different resolutions. By incorporating all levels in deep learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4275140d5e6f8ef1568d06757010cead
https://doi.org/10.1109/ispa52656.2021.9552104
https://doi.org/10.1109/ispa52656.2021.9552104
Publikováno v:
Technology in Cancer Research & Treatment
1-?
Technology in Cancer Research and Treatment
Technology in Cancer Research & Treatment, Vol 19 (2020)
1-?
Technology in Cancer Research and Treatment
Technology in Cancer Research & Treatment, Vol 19 (2020)
In pathology labs worldwide, we see an increasing number of tissue samples that need to be assessed without the same increase in the number of pathologists. Computational pathology, where digital scans of histological samples called whole-slide image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::530e01e3a7b7c9463fa4ab3f7cbc9cc5
http://europepmc.org/articles/PMC7570776
http://europepmc.org/articles/PMC7570776
Publikováno v:
ICPRAM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d187a03111d3fdefdaf32d948a80a2a
https://doi.org/10.5220/0007253603200327
https://doi.org/10.5220/0007253603200327