Classification of Tissue Regions in Histopathological Images: Comparison Between Pre-trained Convolutional Neural Networks and Local Binary Patterns Variants-Reference-Cited by-同舟云学术

Classification of Tissue Regions in Histopathological Images: Comparison Between Pre-trained Convolutional Neural Networks and Local Binary Patterns Variants

Published:2020 Issue: Volume: Page:95-115
ISSN:1868-4394
Container-title:Intelligent Systems Reference Library
language:
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Author:

Kather Jakob N.,Bello-Cerezo Raquel,Di Maria Francesco,van Pelt Gabi W.,Mesker Wilma E.,Halama Niels,Bianconi Francesco

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-42750-4_3

Reference83 articles.

1. Huijbers, A., Tollenaar, R.A.E.M., Pelt, G.W.V., Zeestraten, E.C.M., Dutton, S., McConkey, C.C., Domingo, E., Smit, V.T.H.B.M. , Midgley, R., Warren, B.F., Johnstone, E.C., Kerr, D.J., Mesker, W.E.: The proportion of tumor-stroma as a strong prognosticator for stage II and III colon cancer patients: validation in the VICTOR trial. Ann. Oncol. 24(1), 179–185 (2013)

2. Park, J.H., Richards, C.H., McMillan, D.C., Horgan, P.G., Roxburgh, C.S.D.: The relationship between tumour stroma percentage, the tumour microenvironment and survival in patients with primary operable colorectal cancer. Ann. Oncol. 25(3), 644–651 (2014)

3. van Pelt, G.W., Sandberg, T.P., Morreau, H., Gelderblom, H., van Krieken, J.H.J.M., Tollenaar, R.A.E.M., Mesker, W.E.: The tumour-stroma ratio in colon cancer: the biological role and its prognostic impact. Histopathology 73(2), 197–206 (2018). August

4. Chen, Y., Zhang, L., Liu, W., Liu, X.: Prognostic significance of the tumor-stroma ratio in epithelial ovarian cancer. BioMed Res. Int. 2015 (2015)

5. Lv, Z., Cai, X., Weng, X., Xiao, H., Du, C., Cheng, J., Zhou, L., Xie, H., Sun, K., Wu, J., Zheng, S.: Tumor-stroma ratio is a prognostic factor for survival in hepatocellular carcinoma patients after liver resection or transplantation. Surgery 158(1), 142–150 (2015)

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