Cascaded cross-attention transformers and convolutional neural networks for multi-organ segmentation in male pelvic computed tomography
Rahul Pemmaraju,
Gayoung Kim,
Lina Mekki
et al.
Abstract:Segmentation of the prostate and surrounding organs at risk from computed tomography is required for radiation therapy treatment planning. We propose an automatic two-step deep learning-based segmentation pipeline that consists of an initial multi-organ segmentation network for organ localization followed by organspecific fine segmentation.Approach: Initial segmentation of all target organs is performed using a hybrid convolutional-transformer model, axial cross-attention UNet. The output from this model allow… Show more
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