TMIAlbarqouni

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Paper accepted for IEEE Transactions on Medical Imaging (TMI)

Our article on AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images has been accepted by IEEE Transactions on Medical Imaging. IEEE Transactions on Medical Imaging is the second most cited journal in Imaging Science & Photographic Technology, the number five cited journal in Computer Science, Interdisciplinary Applications and currently has an impact factor of 3.39 (5-year impact factor: 4.29).

S. Albarqouni, C. Baur, F. Achilles, V. Belagiannis, S. Demirci, N. Navab
AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images
IEEE Transactions on Medical Imaging (TMI), Special Issue on Deep Learning, vol. 35, no. 5, pp. 1313 - 1321, 2016.
The first two authors contribute equally to this paper.
(bib)

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Title: Paper accepted for publication within IEEE Transactions on Medical Imaging (TMI)
Date: 7 February 2016
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Abstract: Our article on AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images has been accepted by IEEE Transactions on Medical Imaging (TMI).
Imageurl: ieee.png
Type: Publication
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