333 citations · 1.1k across the 20 of their papers we have counts for
18 papers · 1 filter
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß, Constantin Seibold, Alexander Freytag +2
Pixel-wise segmentation is one of the most data and annotation hungry tasks in our field. Providing representative and accurate annotations is often mission-critical especially for…
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues
Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb +19
Evaluating expression of the Human epidermal growth factor receptor 2 (Her2) by visual examination of immunohistochemistry (IHC) on invasive breast cancer (BCa) is a key part of th…
Generalized orderless pooling performs implicit salient matching
Marcel Simon, Yang Gao, Trevor Darrell +2
Most recent CNN architectures use average pooling as a final feature encoding step. In the field of fine-grained recognition, however, recent global representations like bilinear p…
Fast Learning and Prediction for Object Detection using Whitened CNN Features
Björn Barz, Erik Rodner, Christoph Käding +1
We combine features extracted from pre-trained convolutional neural networks (CNNs) with the fast, linear Exemplar-LDA classifier to get the advantages of both: the high detection…
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
Marc Aubreville, Christian Knipfer, Nicolai Oetter +7
Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of O…
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes
Christoph Käding, Erik Rodner, Alexander Freytag +1
The demands on visual recognition systems do not end with the complexity offered by current large-scale image datasets, such as ImageNet. In consequence, we need curious and contin…