2 papers
cs.CV2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
Thomas Stegmüller, Behzad Bozorgtabar, Antoine Spahr +1
Progress in digital pathology is hindered by high-resolution images and the prohibitive cost of exhaustive localized annotations. The commonly used paradigm to categorize pathology…
cs.CV2021
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran
Detecting anomalies in musculoskeletal radiographs is of paramount importance for large-scale screening in the radiology workflow. Supervised deep networks take for granted a large…