Digital Pathology
15th European Congress, ECDP 2019, Warwick, UK, April 10–13, 2019, Proceedings
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6 Result(s)
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Chapter and Conference Paper
Improving Pathological Distribution Measurements with Bayesian Uncertainty
Deep learning assisted histopathology has the potential to extract reproducible and accurate measurements from digitised slides in a scalable fashion. A typical workflow of such analysis may involve instance s...
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Book and Conference Proceedings
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Chapter and Conference Paper
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study
While challenging, the dense segmentation of histology images is a necessary first step to assess changes in tissue architecture and cellular morphology. Although specific convolutional neural network architec...
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Chapter and Conference Paper
How to Exploit Weaknesses in Biomedical Challenge Design and Organization
Since the first MICCAI grand challenge organized in 2007 in Brisbane, challenges have become an integral part of MICCAI conferences. In the meantime, challenge datasets have become widely recognized as interna...
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Chapter and Conference Paper
A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images
Detection of epithelial tumor nuclei in standard Hematoxylin & Eosin stained histology images is an essential step for the analysis of tissue architecture. The problem is quite challenging due to the high chro...
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Chapter and Conference Paper
Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images
The region covariance descriptors have recently become a popular method for detection and tracking of objects in an image. However, these descriptors are not suitable for classification of images with heteroge...
