专题:Medical Image Segmentation Techniques

This cluster of papers covers advances in image segmentation techniques, particularly focusing on medical image analysis, graph cuts, active contours, MRI segmentation, deformable image registration, level set methods, statistical shape models, deep learning, and texture analysis.
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近5年高被引文献
Instant neural graphics primitives with a multiresolution hash encoding

article Full Text OpenAlex 3892 FWCI1106.7115

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

conference-paper Full Text OpenAlex 3838 FWCI937.3016

Segment anything in medical images

article Full Text OpenAlex 2637 FWCI596.2807

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

conference-paper Full Text OpenAlex 1805 FWCI287.9838

A Survey of Quantization Methods for Efficient Neural Network Inference

book-chapter Full Text OpenAlex 1100 FWCI477.5397

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer

conference-paper Full Text OpenAlex 1059 FWCI86.0823

DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation

article Full Text OpenAlex 849 FWCI63.87

UNeXt: MLP-Based Rapid Medical Image Segmentation Network

conference-paper Full Text OpenAlex 838 FWCI65.3452

TransMorph: Transformer for unsupervised medical image registration

article Full Text OpenAlex 755 FWCI48.8132

Segment anything model for medical image analysis: An experimental study

article Full Text OpenAlex 735 FWCI68.2959