Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Dimitrios Androutsos"'
Autor:
Salar Razavi, Fariba D. Khameneh, Hana Nouri, Dimitrios Androutsos, Susan J. Done, April Khademi
Publikováno v:
Journal of Pathology Informatics, Vol 13, Iss , Pp 100002- (2022)
Breast cancer is the second most commonly diagnosed type of cancer among women as of 2021. Grading of histopathological images is used to guide breast cancer treatment decisions and a critical component of this is a mitotic score, which is related to
Externí odkaz:
https://doaj.org/article/7ec36aaf1e894b798732ba5ff0e864f2
Autor:
Justin Tyler Pontalba, Thomas Gwynne-Timothy, Ephraim David, Kiran Jakate, Dimitrios Androutsos, April Khademi
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 7 (2019)
Image analysis tools for cancer, such as automatic nuclei segmentation, are impacted by the inherent variation contained in pathology image data. Convolutional neural networks (CNN), demonstrate success in generalizing to variable data, illustrating
Externí odkaz:
https://doaj.org/article/be5191d3bdf84645a08ce53980cebf98
Autor:
Rokshana S. Geread, Peter Morreale, Robert D. Dony, Emily Brouwer, Geoffrey A. Wood, Dimitrios Androutsos, April Khademi
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 7 (2019)
Automated image analysis tools for Ki67 breast cancer digital pathology images would have significant value if integrated into diagnostic pathology workflows. Such tools would reduce the workload of pathologists, while improving efficiency, and accur
Externí odkaz:
https://doaj.org/article/88b41c555ceb41078ef41b40b482dce5
Autor:
Geoffrey A. Wood, Rokshana Stephny Geread, Abishika Sivanandarajah, Hala Faragalla, Dimitrios Androutsos, April Khademi, Emily Brouwer
Publikováno v:
Cancers, Vol 13, Iss 11, p 11 (2021)
Cancers
Volume 13
Issue 1
Cancers
Volume 13
Issue 1
In this work, a novel proliferation index (PI) calculator for Ki67 images called piNET is proposed. It is successfully tested on four datasets, from three scanners comprised of patches, tissue microarrays (TMAs) and whole slide images (WSI), represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c50ea2f0d8bff4121a351f9a7eabe131
https://www.mdpi.com/2072-6694/13/1/11
https://www.mdpi.com/2072-6694/13/1/11
Autor:
Joel Ramjist, Jillian Cardinell, Yuta Dobashi, Nhu Q. Nguyen, Dimitrios Androutsos, Victor X. D. Yang
Publikováno v:
Neurosurgery. 66:310-414
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12d9b632bd4d1f792bebdaaaadf45b18
https://doi.org/10.1093/neuros/nyz310_414
https://doi.org/10.1093/neuros/nyz310_414
Autor:
Hala Faragalla, Abishika Sivanandarajah, Geoffrey A. Wood, Dimitrios Androutsos, Rokshana Stephny Geread, April Khademi, Emily Brouwer
In this work, a novel proliferation index (PI) calculator for Ki67 images called piNET is proposed. It is successfully tested on four datasets, from three scanners comprised of patches, tissue microarrays (TMAs) and wholeslide images (WSI), represent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::730e1f184c40de4a1274d143e8d1ebfb
https://doi.org/10.1101/2020.11.19.390401
https://doi.org/10.1101/2020.11.19.390401
Publikováno v:
Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR).
Augmented reality (AR) continues to be heavily studied as a research topic for potential medical use. The goal of seeing the patient’s anatomy below the surface of the human body has always been thought of as the ideal surgical navigation tool. Rat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::038c48ce7553de76ba2d62f37baa7fc3
https://doi.org/10.1117/12.2546483
https://doi.org/10.1117/12.2546483
Autor:
Joel Ramjist, Nhu Q. Nguyen, Jamil Jivraj, Ryan Deorajh, Dimitrios Androutsos, Philips Lai, Victor X. D. Yang
Publikováno v:
Clinical and Translational Neurophotonics 2020.
The development of improved Augmented Reality (AR) Head-Mounted Devices (HMDs) have led to increasing use cases for AR applications. In the case of surgery, an HMD can be used as an assistive tool to help surgeons operate. With a triplanar surgical n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eabe98beba71eddad915e3e037a1dad
https://doi.org/10.1117/12.2566594
https://doi.org/10.1117/12.2566594
Autor:
Ephraim David, Thomas Gwynne-Timothy, Dimitrios Androutsos, April Khademi, Kiran Jakate, Justin Tyler Pontalba
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 7 (2019)
Frontiers in Bioengineering and Biotechnology
Frontiers in Bioengineering and Biotechnology
Image analysis tools for cancer, such as automatic nuclei segmentation, are impacted by the inherent variation contained in pathology image data. Convolutional neural networks (CNN), demonstrate success in generalizing to variable data, illustrating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e93b333995d78da2f7195f3fbf4158fb
https://doi.org/10.3389/fbioe.2019.00300
https://doi.org/10.3389/fbioe.2019.00300
Autor:
Dimitrios Androutsos, Rokshana Stephny Geread, April Khademi, R.D. Dony, Peter Morreale, Emily Brouwer, Geoffrey A. Wood
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 7 (2019)
Frontiers in Bioengineering and Biotechnology
Frontiers in Bioengineering and Biotechnology
Automated image analysis tools for Ki67 breast cancer digital pathology images would have significant value if integrated into diagnostic pathology workflows. Such tools would reduce the workload of pathologists, while improving efficiency, and ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71923961b94a518ab279f88e7be33a19
https://doi.org/10.3389/fbioe.2019.00226
https://doi.org/10.3389/fbioe.2019.00226