GitHub / kaledhoshme123 / Probabilistic-U-Net-Segmentation-Ambiguous-Images-

People with pulmonary disease often have a high opacity, which makes segmentation of the lung from chest X-rays more difficult. In this study, I propose a methodology to improve the performance of the U-NET structure so that it is able to extract the features and spatial characteristics of the X-ray images of the chest region.

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Topics: chest-xray, chest-xray-images, chest-xrays, covid-19, covid19, opacity, segmentation, unet, unet-image-segmentation, unet-keras, unet-tensorflow, variational-autoencoder, variational-autoencoders

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