University of Oulu

BAYRAMOGLU, N. and HEIKKILÄ, J., 2016. Transfer Learning for Cell Nuclei Classification in Histopathology Images. In: G. HUA and H. JÉGOU, eds, Computer Vision – ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III. Cham: Springer International Publishing, pp. 532-539.

Transfer learning for cell nuclei classification in histopathology images

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Author: Bayramoglu, Neslihan1; Heikkilä, Janne1
Organizations: 1Center for Machine Vision and Signal Analysis, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Springer Nature, 2016
Publish Date: 2016-12-14


In histopathological image assessment, there is a high demand to obtain fast and precise quantification automatically. Such automation could be beneficial to find clinical assessment clues to produce correct diagnoses, to reduce observer variability, and to increase objectivity. Due to its success in other areas, deep learning could be the key method to obtain clinical acceptance. However, the major bottleneck is how to train a deep CNN model with a limited amount of training data. There is one important question of critical importance: Could it be possible to use transfer learning and fine-tuning in biomedical image analysis to reduce the effort of manual data labeling and still obtain a full deep representation for the target task? In this study, we address this question quantitatively by comparing the performances of transfer learning and learning from scratch for cell nuclei classification. We evaluate four different CNN architectures trained on natural images and facial images.

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Series: Lecture notes in computer science
ISSN: 0302-9743
ISSN-E: 1611-3349
ISSN-L: 0302-9743
ISBN: 978-3-319-49409-8
Volume: 9915
Pages: 532 - 539
DOI: 10.1007/978-3-319-49409-8_46
Host publication: Computer Vision – ECCV 2016 Workshops : Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III
Host publication editor: Hua, Gang
Jégou, Hervé
Conference: European conference on computer vision workshops
Copyright information: © Springer International Publishing Switzerland 2016