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Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography
Yuli Wu, Peter Walter, Dorit Merhof
Fovea localization is one of the most popular tasks in ophthalmic medical image analysis, where the coordinates of the center point of the macula lutea, i.e. fovea centralis, shoul…
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning
Nassim Bouteldja, Barbara Mara Klinkhammer, Tarek Schlaich +2
In digital pathology, many image analysis tasks are challenged by the need for large and time-consuming manual data annotations to cope with various sources of variability in the i…
High-throughput Phenotyping of Nematode Cysts
Long Chen, Matthias Daub, Hans-Georg Luigs +3
The beet cyst nematode (BCN) Heterodera schachtii is a plant pest responsible for crop loss on a global scale. Here, we introduce a high-throughput system based on computer vision…
The information content of brain states is explained by structural constraints on state energetics
Leon Weninger, Pragya Srivastava, Dale Zhou +6
Signal propagation along the structural connectome of the brain induces changes in the patterns of activity. These activity patterns define global brain states and contain informat…
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations
Oliver Rippel, Arnav Chavan, Chucai Lei +1
Current state-of-the-art anomaly detection (AD) methods exploit the powerful representations yielded by large-scale ImageNet training. However, catastrophic forgetting prevents the…
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas +55
International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely inv…