State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?

Bibliographic Details
Main Authors:	S-R. Leyh-Bannurah, U. Wolffgang, J. Schmitz, V. Ouellet, F. Azzi, Z. Tian, B. Helmke, M. Graefen, L. Budäus, P.I. Karakiewicz, D. Trudel, F. Saad
Format:	Article
Language:	English
Published:	Elsevier 2020-07-01
Series:	European Urology Open Science
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666168320339549

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spelling	doaj-2708a9d9426a4ab4ab739fbf0e526c5d2020-12-30T04:19:00ZengElsevierEuropean Urology Open Science2666-16832020-07-0119e2013State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?S-R. Leyh-BannurahU. WolffgangJ. SchmitzV. OuelletF. AzziZ. TianB. HelmkeM. GraefenL. BudäusP.I. KarakiewiczD. TrudelF. Saadhttp://www.sciencedirect.com/science/article/pii/S2666168320339549
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	S-R. Leyh-Bannurah U. Wolffgang J. Schmitz V. Ouellet F. Azzi Z. Tian B. Helmke M. Graefen L. Budäus P.I. Karakiewicz D. Trudel F. Saad
spellingShingle	S-R. Leyh-Bannurah U. Wolffgang J. Schmitz V. Ouellet F. Azzi Z. Tian B. Helmke M. Graefen L. Budäus P.I. Karakiewicz D. Trudel F. Saad State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation? European Urology Open Science
author_facet	S-R. Leyh-Bannurah U. Wolffgang J. Schmitz V. Ouellet F. Azzi Z. Tian B. Helmke M. Graefen L. Budäus P.I. Karakiewicz D. Trudel F. Saad
author_sort	S-R. Leyh-Bannurah
title	State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?
title_short	State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?
title_full	State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?
title_fullStr	State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?
title_full_unstemmed	State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?
title_sort	state-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: can sufficient accuracy be achieved without manual patch level annotation?
publisher	Elsevier
series	European Urology Open Science
issn	2666-1683
publishDate	2020-07-01
url	http://www.sciencedirect.com/science/article/pii/S2666168320339549
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State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?

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