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pro vyhledávání: '"Christian Muenzenmayer"'
This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products an
Autor:
Cem Emre Akbas, Oguzhan Oguz, Ece Akhan Güzelcan, Aysegul Uner, Christian Muenzenmayer, Kasim Tasdemir, Ahmet Enis Cetin, Rengul Cetin Atalay, Ma'en Mallah, Thomas Wittenberg
Publikováno v:
Medical Imaging: Digital Pathology
Proceedings of SPIE Vol. 9791, Medical Imaging 2016: Digital Pathology, SPIE 2016
Proceedings of SPIE Vol. 9791, Medical Imaging 2016: Digital Pathology, SPIE 2016
Date of Conference: 27 February-3 March 2016 Conference Name: Medical Imaging 2016: Digital Pathology, SPIE 2016 In this article, algorithms for cancer stem cell (CSC) detection in liver cancer tissue images are developed. Conventionally, a pathologi
Autor:
Oguzhan Oguz, Christian Muenzenmayer, Aysegul Uner, A. Enis Cetin, Thomas Wittenberg, Rengul Cetin Atalay
Publikováno v:
IWCIM
This paper presents a cancer stem cell detection method using region covariance and codifference method. It focuses on detection of Cancer Stem Cell (CSC) in microscopic images which are stained with CD13 marker. Features of CSC images are extracted
Autor:
Gerhard Stauch, Christian Muenzenmayer
Publikováno v:
Pathology. 46:S6
Telepathology and telecytology (TP/TC) are the most attractive fields for pattern recognition in pathology. One of the major problems of TP/TC is the limitation of information, especially in image size and quality, when data are transmitted via comme
Autor:
Gregory D. Hager, Christian Winter, Christian Muenzenmayer, Purnima Rajan, Marcia I. Canto, Emmanuel C. Gorospe, Jose Antonio N. Almario
Publikováno v:
Gastroenterology. 138:S-664