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Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung

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Document pages: 10 pages

Abstract: In this work we present a method for lung nodules segmentation, their textureclassification and subsequent follow-up recommendation from the CT image oflung. Our method consists of neural network model based on popular U-Netarchitecture family but modified for the joint nodule segmentation and itstexture classification tasks and an ensemble-based model for the follow-uprecommendation. This solution was evaluated within the LNDb medical imagingchallenge and produced the best nodule segmentation result on the finalleaderboard.

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