Results 121 to 130 of about 340,403 (177)

VT-MFLV: Vision-Text Multimodal Feature Learning V Network for Medical Image Segmentation. [PDF]

J Imaging
Wang W, Li J, Ye Z, Cai Y, Wang Z, Zhang R.   +5 more
europepmc   +1 more source

ProtoSAM for automated one shot medical image segmentation using foundational models. [PDF]

Sci Rep
Ayzenberg L, Giryes R, Greenspan H.
europepmc   +1 more source

M³-TransUNet: Medical Image Segmentation Based on Spatial Prior Attention and Multi-Scale Gating. [PDF]

J Imaging
Zeng Z, Xiao J, Yi S, Liu Q, Zhu Y.
europepmc   +1 more source

Multi-view hybrid encoder U-Net for 3D renal vascular medical image segmentation. [PDF]

Sci Rep
Yan N, Tang L, Tao Y, Yao J, Guo Z, Liu M, Wang J.   +6 more
europepmc   +1 more source

A Review of Deep Learning Approaches Based on Segment Anything Model for Medical Image Segmentation. [PDF]

Bioengineering (Basel)
Koishiyeva D, Mukhammejanova D, Kang JW, Mukasheva A.   +3 more
europepmc   +1 more source

A foundation model-driven multi-view collaborative framework for semi-supervised 3D medical image segmentation. [PDF]

Front Med (Lausanne)
Li L, Wang B, Zhang H.
europepmc   +1 more source

Enhancing Medical Image Segmentation and Classification Using a Fuzzy-Driven Method. [PDF]

Sensors (Basel)
Abduvaitov A, Shavkatovich Buriboev A, Sultanov D, Buriboev S, Yusupov O, Jasur K, Choi AJ.   +6 more
europepmc   +1 more source

UNet with self-adaptive Mamba-like attention and causal-resonance learning for medical image segmentation. [PDF]

Sci Rep
Qamar S, Fazil M, Ahmad P, Khan S, Zamani AT.   +4 more
europepmc   +1 more source

MDFormer: a multi-scale dense dilated transformer model for 3D medical image segmentation. [PDF]

Sci Rep
Li Q, Zhao H, Zhai Y, Li F.
europepmc   +1 more source