Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning

23 Jan 2020Evan SchwabAndré GooßenHrishikesh DeshpandeAxel Saalbach

The automatic detection of critical findings in chest X-rays (CXR), such as pneumothorax, is important for assisting radiologists in their clinical workflow like triaging time-sensitive cases and screening for incidental findings. While deep learning (DL) models has become a promising predictive technology with near-human accuracy, they commonly suffer from a lack of explainability, which is an important aspect for clinical deployment of DL models in the highly regulated healthcare industry... (read more)

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