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

book-chapter Full Text OpenAlex

A Context-Dependent CNN-Based Framework for Multiple Sclerosis Segmentation in MRI

article Full Text OpenAlex

Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

book-chapter Full Text OpenAlex

Centerline Boundary Dice Loss for Vascular Segmentation

book-chapter Full Text OpenAlex

Enhancing semi-supervised medical image segmentation with bidirectional copy-paste and masked image reconstruction

article Full Text OpenAlex

Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation

book-chapter Full Text OpenAlex

MLFA-UNet: A multi-level feature assembly UNet for medical image segmentation

article Full Text OpenAlex

Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis

article Full Text OpenAlex

AMD: Automatic Multi-step Distillation of Large-Scale Vision Models

book-chapter Full Text OpenAlex

Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine‐Tuning of Vision Transformer Models

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 3089 FWCI1380.76773368

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

book-chapter Full Text OpenAlex 2457 FWCI2217.09298017

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

review Full Text OpenAlex 1687 FWCI122.97003321

Segment anything in medical images

article Full Text OpenAlex 1645 FWCI1022.68445714

IEEE Transactions on Image Processing

article Full Text OpenAlex 1537 FWCI120.80356095

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

book-chapter Full Text OpenAlex 1224 FWCI497.09770278

A Survey of Quantization Methods for Efficient Neural Network Inference

book-chapter Full Text OpenAlex 888 FWCI309.37395767

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

article Full Text OpenAlex 868 FWCI59.72328072

A review of medical image data augmentation techniques for deep learning applications

review Full Text OpenAlex 837 FWCI77.03857152

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

book-chapter Full Text OpenAlex 790 FWCI211.59146297