Robust Automated Tumour Segmentation Network Using 3D Direction-Wise Convolution and Transformer.
Semantic segmentation of tumours plays a crucial role in fundamental medical image analysis and has a significant impact on cancer diagnosis and treatment planning. UNet and its variants have achieved state-of-the-art results on various 2D and 3D medical image segmentation tasks involving different...
| Published in: | Journal of Digital Imaging Vol. 37; no. 5; pp. 2444 - 2454 |
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| Main Authors: | , , |
| Format: | diagnostic images equations & formulas research tables/charts Journal Article |
| Published: |
Springer Nature
Oct2024
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| Online Access: | View this record in EBSCOhost |