GitHub - sowmyaarajan/RSNA-Pneumonia-Detection-Challenge: The goal is to predict pneumonia - related lung opacities along with their bounding boxes in the chest X-ray images. The objective is to detect whether to classify the lungs which has pneumonia and discard other kinds of discard other types of opacities like the ones caused by fluid, bacteria, lung cancer etc. There are various algorithms that can be applied but we went ahead with YOLO which proves to be the best. We took most of the help from https://www.kaggle.com/c/rsna-pneumonia-detection-challenge. The dataset is also been downloaded from the kaggle website.

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The goal is to predict pneumonia - related lung opacities along with their bounding boxes in the chest X-ray images. The objective is to detect whether to classify the lungs which has pneumonia and discard other kinds of discard other types of opacities like the ones caused by fluid, bacteria, lung cancer etc. There are various algorithms that c…

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RSNA Pneumonia Detection Challenge.pdf		RSNA Pneumonia Detection Challenge.pdf
yolov3-rsna-starting-notebook.ipynb		yolov3-rsna-starting-notebook.ipynb