Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hans Pinckaers"'
Autor:
Hans Pinckaers, Jolique van Ipenburg, Jonathan Melamed, Angelo De Marzo, Elizabeth A. Platz, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-9 (2022)
Pinckaers et al. develop a deep learning system to predict biochemical recurrence in prostate cancer patients treated with radical prostatectomy. The authors’ morphological biomarker provides predictive power beyond traditional Gleason grading, bas
Externí odkaz:
https://doaj.org/article/fd32db018cc7493a99a0b8a54cf0664a
Autor:
Daniel E Spratt, Siyi Tang, Yilun Sun, Huei-Chung Huang, Emmalyn Chen, Osama Mohamad, Andrew J Armstrong, Jonathan D Tward, Paul L Nguyen, Joshua M Lang, Jingbin Zhang, Akinori Mitani, Jeffry P Simko, Sandy DeVries, Douwe van der Wal, Hans Pinckaers, Jedidiah M Monson, Holly A Campbell, James Wallace, Michelle J Ferguson, Jean-Paul Bahary, Edward M Schaeffer, NRG Prostate Cancer AI Consortium, Howard M Sandler, Phuoc T Tran, Joseph P Rodgers, Andre Esteva, Rikiya Yamashita, Felix Y Feng
Background Androgen deprivation therapy (ADT) with radiotherapy can benefit patients with localized prostate cancer. However, ADT can negatively impact quality of life and there remain no validated predictive models to guide its use. Methods Digital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24a545351768abb49f6993bac6b0e284
https://doi.org/10.21203/rs.3.rs-2790858/v1
https://doi.org/10.21203/rs.3.rs-2790858/v1
Publikováno v:
IEEE Transactions on Medical Imaging, 40, 1817-1826
IEEE Transactions on Medical Imaging, 40, 7, pp. 1817-1826
IEEE Transactions on Medical Imaging, 40, 7, pp. 1817-1826
Prostate cancer is the most prevalent cancer among men in Western countries, with 1.1 million new diagnoses every year. The gold standard for the diagnosis of prostate cancer is a pathologists’ evaluation of prostate tissue. To potentially assist p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe2641c809e7f9df441afc526e1b77f0
https://hdl.handle.net/2066/235135
https://hdl.handle.net/2066/235135
Autor:
Hans Pinckaers
This is the source code to reproduce theDLS biomarker.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abc1509d5f0350c00c53997481d39229
Publikováno v:
IEEE Transactions on Software Engineering, 44, 1581-1590
IEEE Transactions on Software Engineering, 44, 3, pp. 1581-1590
IEEE Transactions on Software Engineering, 44, 3, pp. 1581-1590
Due to memory constraints on current hardware, most convolution neural networks (CNN) are trained on sub-megapixel images. For example, most popular datasets in computer vision contain images much less than a megapixel in size (0.09MP for ImageNet an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03c770ec5688c4d497e972af8ac5abc5
http://hdl.handle.net/2066/247763
http://hdl.handle.net/2066/247763
Autor:
Hans Pinckaers
This is the source code and data to inference the models and also replicate the quantitative results.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::122e3b435e31f9485685ba277594b896
Autor:
Hans Pinckaers
This is the source code and data to inference the models and also replicate the quantitative results.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a74750832a95cb7b92dc68bf0760e99
Publikováno v:
Medical Imaging 2021: Digital Pathology.
The high incidence of BCC skin cancer caused that the amount of work for pathologists has risen to unprecedented levels. Acquiring outlined annotations for training deep learning models classifying BCC is often tedious and time consuming. End-to-end
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdd01d98d41f1832d58d16b75596b02b
https://doi.org/10.1117/12.2581042
https://doi.org/10.1117/12.2581042
Autor:
Hans Pinckaers, Johan Lindberg, Martin Eklund, Hemamali Samaratunga, Pekka Ruusuvuori, Wouter Bulten, Carolina Wählby, Nita Mulliqi, Mattias Rantalainen, Henrik Olsson, Xiaoyi Ji, Toyonori Tsuzuki, Kimmo Kartasalo, Lars Egevad, Po-Hsuan Cameron Chen, Brett Delahunt, Geert Litjens
Publikováno v:
European Urology Focus, 7, 4, pp. 687-691
European Urology Focus, 7, 687-691
European Urology Focus, 7, 687-691
Contains fulltext : 238871.pdf (Publisher’s version ) (Open Access) Diagnosis and Gleason grading of prostate cancer in biopsies are critical for the clinical management of men with prostate cancer. Despite this, the high grading variability among
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67df125cbbedbc7233e44987b0de0371
https://doi.org/10.1016/j.euf.2021.07.002
https://doi.org/10.1016/j.euf.2021.07.002
Publikováno v:
Pathology, 54, 3, pp. 318-327
Pathology, 54, 318-327
Pathology, 54, 318-327
Contains fulltext : 252113.pdf (Publisher’s version ) (Open Access) Cellularity estimation forms an important aspect of the visual examination of bone marrow biopsies. In clinical practice, cellularity is estimated by eye under a microscope, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13add5a9d0bb346350d35bf68d0449eb
https://pubmed.ncbi.nlm.nih.gov/34772487
https://pubmed.ncbi.nlm.nih.gov/34772487