DescriptorMedSAM: language-image fusion with multi-aspect text guidance for medical image segmentation. [PDF]
Zhang W, Luo L, He M, Hai J, Ye J.
europepmc +1 more source
CMT-Unet: leveraging stage-wise hybrid framework for enhanced accuracy and efficiency in medical image segmentation. [PDF]
Wang R, Liu H, Wang G.
europepmc +1 more source
MedPTQ: a practical pipeline for real post-training quantization in 3D medical image segmentation. [PDF]
Qu C +8 more
europepmc +1 more source
IAP-TransUNet: integration of the attention mechanism and pyramid pooling for medical image segmentation. [PDF]
Shi Y +5 more
europepmc +1 more source
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent. [PDF]
Spiegler P, Harirpoush A, Xiao Y.
europepmc +1 more source
MSA<sup>2</sup>-Net: Utilizing self-adaptive convolution module to extract multi-scale information in medical image segmentation. [PDF]
Qin X, Deng C, Li X, Qin Z, Gong Y.
europepmc +1 more source
CSWin-MDKDNet: cross-shaped window network with multi-dimensional fusion and knowledge distillation for medical image segmentation. [PDF]
Cui G +8 more
europepmc +1 more source
Volumetric Medical Image Segmentation Through Dual Self-Distillation in U-Shaped Networks. [PDF]
Banerjee S +3 more
europepmc +1 more source

