Dataset Groups Activity Stream Modular U-Net for automated segmentation of X-ray tomography images in composite materials A reinterpretation of the U-Net architecture as a modularized structure was proposed as a solution to scale up the segmentation of such images. BibTex: @dataset{João_P_C_Bertoldo_and_Etienne_Decencière_and_David_Ryckelynck_and_Henry_Proudhon_2024, abstract = {A reinterpretation of the U-Net architecture as a modularized structure was proposed as a solution to scale up the segmentation of such images.}, author = {João P C Bertoldo and Etienne Decencière and David Ryckelynck and Henry Proudhon}, doi = {10.57702/2rhv8oi0}, institution = {No Organization}, keyword = {'3D X-ray computed tomography', 'Deep learning', 'Image segmentation', 'Materials science'}, month = {dec}, publisher = {TIB}, title = {Modular U-Net for automated segmentation of X-ray tomography images in composite materials}, url = {https://service.tib.eu/ldmservice/dataset/modular-u-net-for-automated-segmentation-of-x-ray-tomography-images-in-composite-materials}, year = {2024} }
