most citedWeak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset

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cs.CV2022★ 2 cited

Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs

Junya Sato, Yuki Suzuki, Tomohiro Wataya +5

Large numbers of labeled medical images are essential for the accurate detection of anomalies, but manual annotation is labor-intensive and time-consuming. Self-supervised learning…