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

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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.

segmentation chest-xray-images opacity unet variational-autoencoder variational-autoencoders chest-xray chest-xrays unet-image-segmentation unet-keras unet-tensorflow covid-19 covid19
  • Updated Jul 6, 2023
  • Jupyter Notebook

kaledhoshme123 / Adult-tooth-segmentation-U-net-based-GAN-

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Dental segmentation for adults. Many dentists find it difficult to analyze dental panoramic images for adults. One of the difficulties that dentists suffer from is the difficulty in determining the extent and root of the teeth, which affects the decisions of doctors in many cases that include dental implants, tooth extraction, or other problems.

tensorflow keras image-processing cnn medical-imaging generative-adversarial-network gan segmentation convolutional-neural-networks medical-images keras-tensorflow medical-image-processing u-net unet-image-segmentation unet-keras tooth unet-gan
  • Updated Aug 12, 2023
  • Jupyter Notebook

arpsn123 / Multiclass_Segmentation_using_by_UNET_with_RESNET_as_Backbone

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Employing a fusion of UNet and ResNet architectures, the project endeavors to achieve multiclass semantic segmentation of sandstone images. Through deep learning techniques, it seeks to uncover microstructural features across various geological classifications.

github deep-neural-networks ai ml resnet transfer-learning unet resnet-34 unet-image-segmentation unet-keras
  • Updated Mar 31, 2024
  • Jupyter Notebook

kaledhoshme123 / Determine-the-location-of-the-skin-lesion-spread

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Dermatologists suffer from the difficulty of locating cancerous and malignant skin lesions, which causes many problems during the process of removing the tumor, which leads to the return of the tumor again. In determining the location of the tumor and its spread and determining the area that must be removed accurately.

keras image-processing medical-imaging convolutional-neural-networks image-segmentation unet skin-segmentation u-net medical-image-analysis imagesegmentation skin-cancer unet-image-segmentation unet-keras unet-segmentation skin-cancer-detection u-net-plus-plus skin-cancer-detection-cnn
  • Updated Aug 6, 2023
  • Jupyter Notebook

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