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Peter Hufnagl

Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology
A Comparative Study of Cell Nuclei Attributed Relational Graphs for Knowledge Description and Categorization in Histopathological Gastric Cancer Whole Slide Images
Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology
Deep Convolutional Neural Networks for Histological Image Analysis in Gastric Carcinoma Whole Slide Images
Appearance-based necrosis detection using textural features and SVM with discriminative thresholding in histopathological whole slide images
A review of graph-based methods for image analysis in digital histopathology
A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images
Histopathological Image Analysis for Determining Tissue Composition in Gastric Cancer
Determining similarity in histological images using graph-theoretic description and matching methods for content-based image retrieval in medical diagnostics