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Research Article

Computer-based grading of haematoxylin-eosin stained tissue sections of urinary bladder carcinomas

Pages 179-190 | Published online: 12 Jul 2009

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D. Glotsos, P. Spyridonos, D. Cavouras, P. Ravazoula, P. Arapantoni Dadioti & G. Nikiforidis. (2005) An image-analysis system based on support vector machines for automatic grade diagnosis of brain-tumour astrocytomas in clinical routine. Medical Informatics and the Internet in Medicine 30:3, pages 179-193.
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Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai & Yan Xu. (2020) Deep learning in digital pathology image analysis: a survey. Frontiers of Medicine 14:4, pages 470-487.
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Lei He, L. Rodney Long, Sameer Antani & George R. Thoma. (2012) Histology image analysis for carcinoma detection and grading. Computer Methods and Programs in Biomedicine 107:3, pages 538-556.
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Evrim Acar, George E. Plopper & Bülent Yener. (2012) Coupled Analysis of In Vitro and Histology Tissue Samples to Quantify Structure-Function Relationship. PLoS ONE 7:3, pages e32227.
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Lan Gan, Wenya Lv, Xu Zhang & Xiuming Meng. (2012) Improved PCA + LDA Applies to Gastric Cancer Image Classification Process. Physics Procedia 24, pages 1689-1695.
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Antonis Daskalakis, Spiros Kostopoulos, Panagiota Spyridonos, Dimitris Glotsos, Panagiota Ravazoula, Maria Kardari, Ioannis Kalatzis, Dionisis Cavouras & George Nikiforidis. (2008) Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images. Computers in Biology and Medicine 38:2, pages 196-203.
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Asharf A. Kassim & Pingkun Yan. 2007. Wiley Encyclopedia of Computer Science and Engineering. Wiley Encyclopedia of Computer Science and Engineering.
S. Kostopoulos, D. Glotsos, G.C. Kagadis, A. Daskalakis, P. Spyridonos, I. Kalatzis, M. Karamessini, T. Petsas, D. Cavouras & G. Nikiforidis. (2007) A hybrid pixel-based classification method for blood vessel segmentation and aneurysm detection on CTA. Computers & Graphics 31:3, pages 493-500.
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Elpiniki Papageorgiou, G. Georgoulas, C. D. Stylios & P. P. Groumpos. 2007. World Congress on Medical Physics and Biomedical Engineering 2006. World Congress on Medical Physics and Biomedical Engineering 2006 3662 3665 .
Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, Georgios Nikiforidis & Michael N. Vrahatis. (2006) Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artificial Intelligence in Medicine 38:3, pages 291-303.
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E.I. Papageorgiou, P.P. Spyridonos, C.D. Stylios, P. Ravazoula, P.P. Groumpos & G.N. Nikiforidis. (2006) Advanced soft computing diagnosis method for tumour grading. Artificial Intelligence in Medicine 36:1, pages 59-70.
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Elpiniki Papageorgiou, George Georgoulas, Chrysostomos Stylios, George Nikiforidis & Peter Groumpos. 2006. Knowledge-Based Intelligent Information and Engineering Systems. Knowledge-Based Intelligent Information and Engineering Systems 515 523 .
P. Spyridonos, E. I. Papageorgiou, P. P. Groumpos & G. N. Nikiforidis. 2006. Image Analysis and Recognition. Image Analysis and Recognition 110 121 .
Lefteris Gortzis, Stavros Koubias & George Nikiforidis. (2004) Design and implementation of a web-enabled haematological system. Computer Methods and Programs in Biomedicine 75:3, pages 221-234.
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Dimitris Glotsos, Panagiota Spyridonos, Panagiota Ravazoula, Dionisis Cavouras & George Nikiforidis. 2004. Neural Information Processing. Neural Information Processing 1058 1063 .
D. Glotsos, P. Spyridonos, P. Petalas, D. Cavouras, V. Zolota, P. Dadioti, I. Lekka & G. Nikiforidis. (2003) A hierarchical decision tree classification scheme for brain tuniour astrocytoma grading using support vector machines. A hierarchical decision tree classification scheme for brain tuniour astrocytoma grading using support vector machines.
P. Spyridonos, D. Glotsos, D. Cavouras, P. Ravazoula & G. Nikiforidis. (2002) A prognostic-classification system based on a probabilistic NN for predicting urine bladder cancer recurrence. A prognostic-classification system based on a probabilistic NN for predicting urine bladder cancer recurrence.

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