H2MaT-Unet: Hierarchical hybrid multi-axis transformer based Unet for medical image segmentation
ZY Ju, ZC Zhou, ZX Qi, C Yi - Computers in Biology and Medicine, 2024 - Elsevier
Accurate segmentation and lesion localization are essential for treating diseases in medical
images. Despite deep learning methods enhancing segmentation, they still have limitations …
images. Despite deep learning methods enhancing segmentation, they still have limitations …
H2MaT-Unet: Hierarchical hybrid multi-axis transformer based Unet for medical image segmentation
ZY Ju, ZC Zhou, ZX Qi, C Yi - Computers in biology and medicine - pubmed.ncbi.nlm.nih.gov
Accurate segmentation and lesion localization are essential for treating diseases in medical
images. Despite deep learning methods enhancing segmentation, they still have limitations …
images. Despite deep learning methods enhancing segmentation, they still have limitations …
H2MaT-Unet: Hierarchical hybrid multi-axis transformer based Unet for medical image segmentation.
Z Ju, Z Zhou, Z Qi, C Yi - Computers in Biology and Medicine, 2024 - europepmc.org
Accurate segmentation and lesion localization are essential for treating diseases in medical
images. Despite deep learning methods enhancing segmentation, they still have limitations …
images. Despite deep learning methods enhancing segmentation, they still have limitations …