Histology Image Collection Library

  • Microscopy image analysis of p63 immunohistochemically stained laryngeal cancer lesions for predicting patient 5-year survival
    Ninos, K., Kostopoulos, S., Kalatzis, I., Sidiropoulos, K., Ravazoula, P., Sakellaropoulos, G., Panayiotakis, G., Economou, G., Cavouras, D. (2016) European Archives of Oto-Rhino-Laryngology, 273 (1), pp. 159-168

  • Assessing the performance of four different categories of histological criteria in brain tumours grading by means of a computer-aided diagnosis image analysis system
    Kostopoulos, S., Konstandinou, C., Sidiropoulos, K., Ravazoula, P., Kalatzis, I., Asvestas, P., Cavouras, D., Glotsos, D. (2015) Journal of Microscopy, 260 (1), pp. 37-46.

  • A GPU-based computer-assisted microscopy system for assessing the importance of different families of histological characteristics in cancer diagnosis
    Glotsos, D., Kostopoulos, S., Sidiropoulos, K., Ravazoula, P., Kalatzis, I., Asvestas, P., Cavouras, D. (2014) Proceedings of SPIE - The International Society for Optical Engineering, 9069, art. no. 90691I.

  • Computer based correlation of the texture of P63 expressed nuclei with histological tumour grade, in laryngeal carcinomas
    Ninos K., Kostopoulos S., Kalatzis I., Ravazoula P., Sakelaropoulos G., Panayiotakis G., Economou G., Cavouras D. (2014) Analytical Cellular Pathology, Article ID 963076.

  • Computer-based image analysis system designed to differentiate between low-grade and high-grade laryngeal cancer cases
    Ninos, K., Kostopoulos, S., Sidiropoulos, K., Kalatzis, I., Glotsos, D., Athanasiadis, E., Ravazoula, P., Panayiotakis, G., Economou, G., Cavouras, D. (2013) Analytical and Quantitative Cytology and Histology, 35 (5), pp. 261-272.

  • Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit
    Sidiropoulos, K., Glotsos, D., Kostopoulos, S., Ravazoula, P., Kalatzis, I., Cavouras, D., Stonham, J. (2012) Computers in Biology and Medicine, 42 (4), pp. 376-386.

  • A pilot study investigating the minimum requirements necessary for grading astrocytomas remotely
    Glotsos, D., Georgiadis, P., Kostopoulos, S., Daskalakis, A., Kalatzis, I., Ravazoula, P., Cavouras, D. (2009) Analytical and Quantitative Cytology and Histology, 31 (5), pp. 262-268.

  • Computer-based association of the texture of expressed estrogen receptor nuclei with histologic grade using immunohistochemically-stained breast carcinomas
    Kostopoulos, S., Glotsos, D., Cavouras, D., Daskalakis, A., Kalatzis, I., Georgiadis, P., Bougioukos, P., Ravazoula, P., Nikiforidis, G. (2009) Analytical and Quantitative Cytology and Histology, 31 (4), pp. 187-196.

  • Cascade pattern recognition structure for improving quantitative assessment of ER-status in breast tissue carcinomas
    Kostopoulos S., Cavouras D., Daskalakis A., Kagadis G.C, Kalatzis I., Georgiadis P., Ravazoula P., Nikiforidis G. (2008) Analytical Quantitative Cytology Histology, 30, pp. 218-225.

  • Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme
    Glotsos, D., Kalatzis, I., Spyridonos, P., Kostopoulos, S., Daskalakis, A., Athanasiadis, E., Ravazoula, P., Nikiforidis, G., Cavouras, D. (2008) Computer Methods and Programs in Biomedicine, 90 (3), pp. 251-261.

  • Brain tumor characterization using the soft computing technique of fuzzy cognitive maps
    Papageorgiou, E.I., Spyridonos, P.P., Glotsos, D.Th., Stylios, C.D., Ravazoula, P., Nikiforidis, G.N., Groumpos, P.P. (2008) Applied Soft Computing Journal, 8 (1), pp. 820-828.

  • An image-analysis system based on support vector machines for automatic grade diagnosis of brain-tumour astrocytomas in clinical routine
    Glotsos, D., Spyridonos, P., Cavouras, D., Ravazoula, P., Arapantoni Dadioti, P., Nikiforidis, G. (2005) Informatics for Health and Social Care, 30 (3), pp. 179-193.

  • Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines
    Glotsos, D., Tohka, J., Ravazoula, P., Cavouras, D., Nikiforidis, G. (2005) International Journal of Neural Systems, 15 (1-2), pp. 1-11.

  • Automated diagnosis of brain tumours using a novel density estimation method for image segmentation and independent component analysis combined with support vector machines for image classification
    Glotsos, D., Spyridonos, P., Ravazoula, P., Cavouras, D., Nikiforidis, G. (2004) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3316, pp. 1058-1063.

  • Automated segmentation of routinely hematoxylin-eosin-stained microscopic images by combining support vector machine clustering and active contour models
    Glotsos, D., Spyridonos, P., Cavouras, D., Ravazoula, P., Dadioti, P.-A., Nikiforidis, G.(2004) Analytical and Quantitative Cytology and Histology, 26 (6), pp. 331-340.

  • Computer-Based Malignancy Grading of Astrocytomas Employing a Support Vector Machine Classifier, the WHO Grading System and the Regular Hematoxylin-Eosin Diagnostic Staining Procedure
    Glotsos, D., Spyridonos, P., Petalas, P., Cavouras, D., Ravazoula, P., Dadioti, P.-A., Lekka, I., Nikiforidis, G. (2004) Analytical and Quantitative Cytology and Histology, 26 (2), pp. 77-83.