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.
最新文献
One-Stage Attention-Centric Instance Segmentation Framework for Gastrointestinal Disease Localization in Endoscopic Images

article Full Text OpenAlex

Enhancing the Reliability of Auto-Prompting SAM for Medical Image Segmentation with Uncertainty Estimation and Rectification

article Full Text OpenAlex

Enhancing efficiency in pediatric brain tumor segmentation using a pathologically diverse single-center clinical dataset

article Full Text OpenAlex

Leveraging image transformation and optical flow for heterogeneous change detection under co-registration errors

article Full Text OpenAlex

Brain Tumor Classification with Hybrid Deep Learning Models from MRI Images

article Full Text OpenAlex

Automated long axial field of view PET image processing and kinetic modelling with the TurBO toolbox

article Full Text OpenAlex

A Survey of Medical Point Cloud Shape Learning: Registration, Reconstruction and Variation

article Full Text OpenAlex

Alzheimer’s disease brain image segmentation using multi-feature fusion in 3D Rényi entropy model and quantum hybrid optimization

article Full Text OpenAlex

Frequency domain iterative clustering for boundary-preserving superpixel segmentation

article Full Text OpenAlex

Geometric multi-instance learning for weakly supervised gastric cancer segmentation

article Full Text OpenAlex

近5年高被引文献
Instant neural graphics primitives with a multiresolution hash encoding

article Full Text OpenAlex 3590 FWCI1225.6507

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

book-chapter Full Text OpenAlex 3277 FWCI1246.4193

Segment anything in medical images

article Full Text OpenAlex 2242 FWCI706.9416

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

book-chapter Full Text OpenAlex 1585 FWCI485.5408

A Survey of Quantization Methods for Efficient Neural Network Inference

book-chapter Full Text OpenAlex 1007 FWCI125.8114

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

article Full Text OpenAlex 994 FWCI54.7905

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

article Full Text OpenAlex 820 FWCI79.9486

UNeXt: MLP-Based Rapid Medical Image Segmentation Network

book-chapter Full Text OpenAlex 769 FWCI97.9624

TransMorph: Transformer for unsupervised medical image registration

article Full Text OpenAlex 672 FWCI60.6249

Segment anything model for medical image analysis: An experimental study

article Full Text OpenAlex 671 FWCI79.3339