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
Self-consistent recursive diffusion bridge for medical image translation

article Full Text OpenAlex

DIGITAL IMAGE PROCESSING

article Full Text OpenAlex

Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model

article Full Text OpenAlex

Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery with Patches-to-Partial Matching

article Full Text OpenAlex

Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models

article Full Text OpenAlex

Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes

book-chapter Full Text OpenAlex

Understanding differences in applying DETR to natural and medical images

article Full Text OpenAlex

MobileUNETR: A Lightweight End-to-End Hybrid Vision Transformer For Efficient Medical Image Segmentation

book-chapter Full Text OpenAlex

SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images

book-chapter Full Text OpenAlex

Wavelet-Autoencoder Hybrid Model for Enhanced Image Denoising in Medical Imaging

book-chapter Full Text OpenAlex

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

article Full Text OpenAlex 2196 FWCI830.69

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

review Full Text OpenAlex 1406 FWCI26.765

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

book-chapter Full Text OpenAlex 1371 FWCI1758.764

Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

article Full Text OpenAlex 1059 FWCI89.31

Segment anything in medical images

article Full Text OpenAlex 1000 FWCI572.566

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

book-chapter Full Text OpenAlex 868 FWCI375.119

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

review Full Text OpenAlex 713 FWCI19.199

A Survey of Quantization Methods for Efficient Neural Network Inference

book-chapter Full Text OpenAlex 711 FWCI264.239

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

book-chapter Full Text OpenAlex 670 FWCI181.646

A Review of Deep-Learning-Based Medical Image Segmentation Methods

review Full Text OpenAlex 652 FWCI24.375