Purpose Lymphoma lesion detection and segmentation on whole-body FDG-PET/CT are a challenging task because of the diversity of involved nodes, organs or physiological uptakes. We sought to investigate the performances of a three-dimensional (3D) convolutional neural network (CNN) to automatically segment total metabolic tumour volume (TMTV) in...
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2021 (v1)Journal articleUploaded on: December 4, 2022
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December 2020 (v1)Journal article
Purpose :The purpose of this study was to build and train a deep convolutional neural networks (CNN) algorithm to segment muscular body mass (MBM) to predict muscular surface from a two-dimensional axial computed tomography (CT) slice through L3 vertebra.Materials and methods :An ensemble of 15 deep learning models with a two-dimensional U-net...
Uploaded on: December 4, 2022