Panagiota Ravazoula

According to our database, Panagiota Ravazoula authored at least 18 papers between 2001 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Design of a hybrid deep learning system for discriminating between low- and high-grade colorectal cancer lesions, using microscopy images of IHC stained for AIB1 expression biopsy material.

Angeliki D. Theodosi, Sotiris Ouzounis, Spiros Kostopoulos, Dimitris Glotsos, Ioannis Kalatzis, Vassiliki Tzelepi, Panagiota Ravazoula, Pantelis Asvestas, Dionisis A. Cavouras, George Sakellaropoulos

Mach. Vis. Appl., 2021

2018

Image quilting and wavelet fusion for creation of synthetic microscopy nuclei images.

Dimitris Glotsos, Spiros Kostopoulos, Panagiota Ravazoula, Dionisis A. Cavouras

Comput. Methods Programs Biomed., 2018

2017

Development of a Reference Image Collection Library for Histopathology Image Processing, Analysis and Decision Support Systems Research.

Spiros Kostopoulos, Panagiota Ravazoula, Pantelis Asvestas, Ioannis Kalatzis, George Xenogiannopoulos, Dionisis A. Cavouras, Dimitris Glotsos

J. Digit. Imaging, 2017

2012

Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit.

Konstantinos Sidiropoulos, Dimitris Glotsos, Spiros Kostopoulos, Panagiota Ravazoula, Ioannis Kalatzis, Dionisis A. Cavouras, T. John Stonham

Comput. Biol. Medicine, 2012

2008

Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme.

Dimitris Glotsos, Ioannis Kalatzis, Panagiota Spyridonos, Spiros Kostopoulos, Antonis Daskalakis, Emmanouil Athanasiadis, Panagiota Ravazoula, George Nikiforidis, Dionisis A. Cavouras

Comput. Methods Programs Biomed., 2008

Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images.

Antonis Daskalakis, Spiros Kostopoulos, Panagiota Spyridonos, Dimitris Glotsos, Panagiota Ravazoula, Maria Kardari, Ioannis Kalatzis, Dionisis A. Cavouras, George Nikiforidis

Comput. Biol. Medicine, 2008

Brain tumor characterization using the soft computing technique of fuzzy cognitive maps.

Elpiniki Papageorgiou, Panagiota Spyridonos, Dimitris Glotsos, Chrysostomos D. Stylios, Panagiota Ravazoula, George Nikiforidis, Peter P. Groumpos

Appl. Soft Comput., 2008

2007

Assessing Estrogen Receptors' Status by Texture Analysis of Breast Tissue Specimens and Pattern Recognition Methods.

Spiros Kostopoulos, Dionisis A. Cavouras, Antonis Daskalakis, Ioannis Kalatzis, Panagiotis Bougioukos, George C. Kagadis, Panagiota Ravazoula, George Nikiforidis

Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007

2006

Comparative evaluation of support vector machines and probabilistic neural networks in superficial bladder cancer classification.

Panagiota Spyridonos, Panagiotis Petalas, Dimitris Glotsos, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis

J. Comput. Methods Sci. Eng., 2006

Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence.

Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis

Artif. Intell. Medicine, 2006

Advanced soft computing diagnosis method for tumour grading.

Elpiniki Papageorgiou, Panagiota Spyridonos, Chrysostomos D. Stylios, Panagiota Ravazoula, Peter P. Groumpos, George Nikiforidis

Artif. Intell. Medicine, 2006

2005

Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines.

Dimitris Glotsos, Jussi Tohka, Panagiota Ravazoula, Dionisis A. Cavouras, George Nikiforidis

Int. J. Neural Syst., 2005

2004

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.

Dimitris Glotsos, Panagiota Spyridonos, Panagiota Ravazoula, Dionisis A. Cavouras, George Nikiforidis

Proceedings of the Neural Information Processing, 11th International Conference, 2004

The Challenge of Soft Computing Techniques for Tumor Characterization.

Elpiniki Papageorgiou, Panagiota Spyridonos, Chrysostomos D. Stylios, Panagiota Ravazoula, George Nikiforidis, Peter P. Groumpos

Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003

Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks.

Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002

Pattern recognition based segmentation method of cell nuclei in tissue section analysis.

Panagiota Spyridonos, Dimitris Glotsos, Dionisis A. Cavouras, Panagiota Ravazoula, Valery V. Zolotaryov, George Nikiforidis

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

A prognostic-classification system based on a probabilistic NN for predicting urine bladder cancer recurrence.

Panagiota Spyridonos, Dimitris Glotsos, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

2001

An automatic classification system of urine bladder tumors employing morphological and textural nuclear features.

Panagiota Spyridonos, Panagiota Ravazoula, Dionisis A. Cavouras, George Nikiforidis

Proceedings of the 2001 International Conference on Image Processing, 2001