Results 181 to 190 of about 6,662,539 (239)

STB-Net: a Siamese architecture-based reconstruction-segmentation network for ocular surface image segmentation. [PDF]

Quant Imaging Med Surg
Wan C, Wu J, Mao Y, Yang W, Yang Y.
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

DCCE-UNet: a difference and context-aware contrast enhanced framework for ultrasound image segmentation. [PDF]

BMC Med Imaging
Wang T, Xu Y, Hu L, Liu H, Liu K, Zhang S, Chen H, Guo H, Feng S.   +8 more
europepmc   +1 more source

Semi-supervised medical image segmentation of bladder tumors based on supervised branches and uncertainty estimation. [PDF]

Sci Rep
Li M, Li Z, Xu C, Chen Y.
europepmc   +1 more source

PUNet: a lightweight parallel U-Net architecture integrating Mamba-CNN for high-precision image segmentation. [PDF]

Sci Rep
Xie Z, Li X, Ma H, Wu S, Cui D.
europepmc   +1 more source

Adaptive and migration-enhanced tree seed algorithm for multi-threshold CT image segmentation and lung cancer recognition. [PDF]

PLoS One
Li C, Jiang J, Ma Z, Yu Z, Li H, Liu J, Li L, Yu Z.   +7 more
europepmc   +1 more source

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee, Paul F Jaeger, Simon A A Kohl   +2 more
exaly   +2 more sources

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Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

ECCV Workshops, 2021
In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis. Especially, the deep neural networks based on U-shaped architecture and skip-connections have been widely applied in a variety of medical ...
Hu Cao, Yueyue Wang, Jieneng Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, Manning Wang   +6 more
semanticscholar   +1 more source

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021
Over the past decade, Deep Convolutional Neural Networks have been widely adopted for medical image segmentation and shown to achieve adequate performance.
Jeya Maria Jose Valanarasu, Poojan Oza, I. Hacihaliloglu, Vishal M. Patel   +3 more
semanticscholar   +1 more source