脑-SAM:用于脑科学图像的基于SAM的一般自动细分模型

相关实验视频

Updated: Jun 15, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.6K

Shilong Zhang1, Peicong Gong1, Hong Zhang1

  • 1State Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Sanya 572025, China.

Biomedical optics express
|February 16, 2026
PubMed
概括

大脑-SAM 增强了微观图像细分,使用基于细分任何模型 (SAM) 的新方法. 这种自动化方法在生物医学成像任务中实现了卓越的准确性和效率.

更多相关视频

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.7K
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

9.5K

相关概念视频

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).