Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images.
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CoRR, 2023
Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images.
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Proceedings of the Medical Imaging 2022: Image Processing, 2022