Jun 9, 2023 · In this study, we show that windowing can improve CXR classification performance, and propose WindowNet, a model that learns optimal window ...
This study investigates the effect of windowing on chest X-ray classification and proposes a model, WindowNet, that learns optimal windowing settings.
Dec 6, 2023 · In this study, we show that windowing strongly improves the CXR classification performance of machine learning models and propose WindowNet, a ...
Dec 4, 2023 · In this study, we show that windowing strongly improves the CXR classification performance of machine learning models and propose WindowNet, a ...
Jun 9, 2023 · Chest X-ray (CXR) images are commonly compressed to a lower resolution and bit depth to reduce their size, potentially altering subtle ...
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In this study, we show that windowing strongly improves the CXR classification performance of machine learning models and propose WindowNet, a model that learns ...
Dec 6, 2023 · WindowNet: Learnable Windows for Chest X-ray Classification. Journal of Imaging 9, 2023 DOI · View all news. Computational Imaging and Inverse ...
Dec 6, 2023 · In this study, we show that windowing strongly improves the CXR classification performance of machine learning models and propose WindowNet, a ...
Apr 29, 2024 · Using Deep Learning and Adaptive Window Adjustment to Facilitate the Detection of Pulmonary Edema Detection in Chest X-Rays.
WindowNet: Learnable Windows for Chest X-ray Classification ... Finally, we propose and evaluate WindowNet, a model that learns optimal window settings, and show ...