Suchergebnisse
Can the Mauritian Miracle continue? - The role of financial and ICT services as prospective growth drivers
Deep Convolutional Neural Networks for Histological Image Analysis in Gastric Carcinoma Whole Slide Images
Sharma, Harshita ; Zerbe, Norman ; Klempert, Iris ; Hellwich, Olaf ; Hufnagl, Peter : Deep Convolutional Neural Networks for Histological Image Analysis in Gastric Carcinoma Whole Slide Images. In: Diagnostic Pathology. Proceedings 13th European Congress on Digital Pathology, S. 1-3, Waltrop, 2016, ISSN 2364-4893
Analyse medizinischer Daten mit Methoden des Deep Learnings (deep.HEALTH)
Das Forschungsprojekt zielt darauf ab, neueste Erkenntnisse im Bereich des maschinellen Lernens, insbesondere des Deep Learning, auf medizinische Problemstellungen zu transferieren und zu untersuchen, wie dies zu differenzierteren Diagnosen bzw. personalisierten Therapien beitragen kann. Dafür solle...
Assessment and Comparison of Colour Fidelity of Whole Slide Imaging Scanners
Zerbe, N ; Alekseychuk, A ; Hufnagl, P : Assessment and Comparison of Colour Fidelity of Whole Slide Imaging Scanners. In: Andreas Holzinger, Randy Goebel, Michael Mengel, Heimo Müller, Artificial Intelligence and Machine Learning for Digital Pathology, S. 264-278, Springer Nature , Cham, 2020, ISBN 978-3-030-50401-4, ISSN 0302-9743
Predicting corrosion fatigue of steels in geothermal environment from new laboratory in-situ measurement technique
OTHER
Block-Centric Visualization Of Histological Whole Slide Images With Application To Revealing Growth-Patterns Of Early Colorectal Adenomas And Aberrant Crypt Foci
Zerbe, Norman ; Heim, Daniel ; Kantonen, J. ; Klauschen, Frederick ; Schlüns, Karsten ; Hufnagl, Peter ; Bläker, H. : Block-Centric Visualization Of Histological Whole Slide Images With Application To Revealing Growth-Patterns Of Early Colorectal Adenomas And Aberrant Crypt Foci. In: Diagnostic Pathology. Proceedings 13th European Congress on Digital Pathology, S. 1-4, Waltrop, 2016, ISSN 2364-4893
Application procedure for the Master
OBDEX – Open Block Data Exchange System
Lindquist, B ; Zerbe, N ; Hufnagl, P : OBDEX – Open Block Data Exchange System. In: Andreas Holzinger, Randy Goebel, Michael Mengel, Heimo Müller, Artificial Intelligence and Machine Learning for Digital Pathology, S. 118-135, Springer Nature , Cham, 2020, ISBN 978-3-030-50401-4, ISSN 0302-9743
BACHELOR
Deep Learning and Augmented Reality
LECTURE