GitHub / mohammad95labbaf / Lung-Segmentation

The preparation for the Lung X-Ray Mask Segmentation project included the use of augmentation methods like flipping to improve the dataset, along with measures to ensure data uniformity and quality. The model architecture was explored with two types of ResNets: the traditional CNN layers and Depthwise Separable.

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Topics: chest-xray-images, chest-xrays, cnn, cnn-keras, convolutional-neural-networks, deep-learning, deep-neural-networks, deeplearning, depthwise-separable-convolutions, depthwiseseparableconvolution, lung-disease, lung-segmentation, segment, segmentation, x-ray-images

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