Literature DB >> 32024961

Author Correction: A modular cGAN classification framework: Application to colorectal tumor detection.

Thomas E Tavolara1, M Khalid Khan Niazi2, Vidya Arole3, Wei Chen3, Wendy Frankel3, Metin N Gurcan1.   

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Entities:  

Year:  2020        PMID: 32024961      PMCID: PMC7002676          DOI: 10.1038/s41598-020-59307-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


Correction to: Scientific Reports 10.1038/s41598-019-55257-w, published online 12 December 2019 This Article contains errors in the Reference list. References 7, 10, 13, 16, 18, 19, 20, 21, 25, 27, 28, 30, 33, 35, 36 and 37 were incorrectly given as: 7. Niazi, M. K. K. et al. In Medical Imaging 2018: Digital Pathology. 105810 H (International Society for Optics and Photonics) (2018). 10. Niazi, M. K. K. et al. In Medical Imaging: Digital Pathology. 86760I (International Society for Optics and Photonics) (2013). 13. Japkowicz, N. In Proc. of the Int’l Conf. on Artificial Intelligence (2000). 16. Qin, Z., Zhang, C., Wang, T. & Zhang, S. In International Conference on Advanced Data Mining and Applications. 1–11 (Springer) (2010). 18. Shaban, M. T., Baur, C., Navab, N. & Albarqouni, S. J. a. p. a. StainGAN: Stain Style Transfer for Digital Histological Images (2018). 19. Bayramoglu, N., Kaakinen, M., Eklund, L. & Heikkilä, J. In ICCV Workshops. 64–71 (2017). 20. Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J. & Wojna, Z. In Proceedings of the IEEE conference on computer vision and pattern recognition. 2818–2826 (2016). 21. Liu, Y. et al. Detecting Cancer Metastases on Gigapixel Pathology Images (2017). 25. Kohl, M., Walz, C., Ludwig, F., Braunewell, S. & Baust, M. In International Conference Image Analysis and Recognition. 903–913 (Springer) (2018). 27. Tavolara, T. E. et al. Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E. Vol. 10956 MI (SPIE, 2019). 28. Niazi, M. K. K. et al. Generalization of tumor identification algorithms. Vol. 10956 MI (SPIE, 2019). 30. Wang, Z. J. h. e. u. c. z. w. r. s. The SSIM index for image quality assessment (2003). 33. Goodfellow, I. et al. In Advances in neural information processing systems. 2672–2680 (2016). 35. Isola, P., Zhu, J., Zhou, T. & Efros, A. A. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 5967–5976 (2017). 36. Ronneberger, O. et al. U-Net Convolutional Networks for Biomedical Image Segmentation (2015). 37. Deng, J. et al. In Computer Vision and Pattern Recognition. CVPR 2009. IEEE Conference on. 248–255 (Ieee) (2009). The correct references are listed below as refs. [1-16].
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1.  Nuclear IHC enumeration: A digital phantom to evaluate the performance of automated algorithms in digital pathology.

Authors:  Muhammad Khalid Khan Niazi; Fazly Salleh Abas; Caglar Senaras; Michael Pennell; Berkman Sahiner; Weijie Chen; John Opfer; Robert Hasserjian; Abner Louissaint; Arwa Shana'ah; Gerard Lozanski; Metin N Gurcan
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.240

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