4 papers
Automated Labeling of German Chest X-Ray Radiology Reports using Deep Learning
Alessandro Wollek, Philip Haitzer, Thomas Sedlmeyr +5
Radiologists are in short supply globally, and deep learning models offer a promising solution to address this shortage as part of clinical decision-support systems. However, train…
German CheXpert Chest X-ray Radiology Report Labeler
Alessandro Wollek, Sardi Hyska, Thomas Sedlmeyr +5
This study aimed to develop an algorithm to automatically extract annotations for chest X-ray classification models from German thoracic radiology reports. An automatic label extra…
Higher Chest X-ray Resolution Improves Classification Performance
Alessandro Wollek, Sardi Hyska, Bastian Sabel +2
Deep learning models for image classification are often trained at a resolution of 224 x 224 pixels for historical and efficiency reasons. However, chest X-rays are acquired at a m…
WindowNet: Learnable Windows for Chest X-ray Classification
Alessandro Wollek, Sardi Hyska, Bastian Sabel +2
Chest X-ray (CXR) images are commonly compressed to a lower resolution and bit depth to reduce their size, potentially altering subtle diagnostic features. Radiologists use windowi…