arXiv Computer Vision By Fan Li, Arun Iyengar, Lanyu Xu

MTMed3D: A Multi-Task Transformer-Based Model for 3D Medical Imaging

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MTMed3D is a multi-task Transformer-based model that jointly performs 3D detection, segmentation, and classification in medical imaging. It uses a shared Transformer encoder to produce multi-scale features, with separate CNN decoders for each task. Evaluated on BraTS 2018 and 2019, it achieves strong results, especially in detection, while reducing computational cost and inference time compared to single-task models.

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