Description: A CPU-friendly pipeline for automated pneumonia detection on chest X-ray images, combining classical preprocessing (OpenCV) with a transfer-learned ResNet-50 model (TensorFlow/Keras).

B or C), or nodules/masses >1 cm in longest axis on chest CT. Presence of enlarged mediastinal or hilar lymphadenopathy (calcified or non-calcified) and ground glass opacities was recorded. Those with ...

which means that a large portion of the information may be irrelevant to the paired radiology report, the Chest X-rays Report Understanding (CRU) task focuses on how to utilize small regions of the ...

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