Browsing SINTEF by Subject "3D segmentation"
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Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
(Peer reviewed; Journal article, 2022)As lung cancer evolves, the presence of potentially malignant lymph nodes must be assessed to properly estimate disease progression and select the best treatment strategy. A method for accurate and automatic segmentation ... -
Meningioma Segmentation in T1-Weighted MRI Leveraging Global Context and Attention Mechanisms
(Peer reviewed; Journal article, 2021)Purpose: Meningiomas are the most common type of primary brain tumor, accounting for ~30% of all brain tumors. A substantial number of these tumors are never surgically removed but rather monitored over time. Automatic and ...