Segment Anything Model (SAM) for Medical Image Segmentation

MedLSAM: Localize and Segment Anything Model for 3D Medical Images

3DSAM-adapter:一种基于全面整合的自适应框架用于从二维向三维实现响应式医学图像分割系统

递增优化方法用于SAM与协同网络的整合

Segment Anything Model (SAM) for Radiation Oncolog

该模型用于部分监督医学图像分割，并通过选取可靠伪标签实现

The prospects of 'Segment Anything' (SAM) in all-inclusive intelligent ultrasound imaging guidance.

The Time-Extended Prompt Optimization of SAM in Interactive Medical Image Segmentation

AutoSAM: Tailoring SAM for Medical Imaging through Overloading the Prompt Encoder

DeSAM: 分离任何段落模型 旨在适用于通用医学图像分割

IAMSAM: Image-based analysis of molecular signatures utilizing the Segment-Anything model.

BreastSAM: A Research on the Application of Segment Anything Model in Breast Tumor Detection Using Ultrasound Imaging

PromptUNet: Toward Interactive Medical Image Segmentation

Polyp-SAM: Transfer SAM for Polyp Segmentation

Investigating the zero-shot segmentation capabilities of the Segment Anything Model (SAM) within the domain of 2D medical imaging, this study provides a thorough assessment of SAM's performance and offers practical guidelines for implementation.

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes

SAM interacts with Robotic Surgery: An Empirical Study from a Resistance Capability Perspective

Segment Anything Model (SAM) for Digital Pathology: Evaluate Zero-shot segmentation on Whole Slide Imaging

SAM与BET：基于深度学习技术的磁共振图像脑部提取与分割系统性比较分析

SAM.MD: The capabilities of the Segment Anything Model in Zero Shot Medical Imaging Segmentation

SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM

专长于现代信号处理领域（包括但不限于以下技术：改进的小波分析系列、如改进的变分模态分解、以及改进的经验小波变换等同于一系列的改进辛几何模态分解），
提升机器学习算法的表现，
强化深度学习模型的效果，
涵盖机械故障诊断技术，
并提供优化的时间序列分析方法（适用于金融信号分析、心电信号解读以及振动信号预测等多个应用场景）