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相关概念视频

Role of Hippocampus in Memory01:19

Role of Hippocampus in Memory

348
The hippocampus, a critical brain structure, plays an essential role in memory processing, particularly in the formation and retrieval of memory. This small, seahorse-shaped region is located within the medial temporal lobe, with one hippocampus in each brain hemisphere. Experimental studies involving lesions in the hippocampi of rats have demonstrated significant impairments in tasks such as object recognition and maze navigation, indicating the hippocampus involvement in both recognition and...
348

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相关实验视频

Updated: Jul 24, 2025

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging
11:03

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging

Published on: November 10, 2015

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使用形态视觉转换器学习的海马子结构细分

Yang Lei1, Yifu Ding1, Richard L J Qiu1

  • 1Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30308.

ArXiv
|July 3, 2023
PubMed
概括
此摘要是机器生成的。

一个新的Hippo-Net模型从T1加权的MRI扫描中准确地细分海马体基结构. 这种自动化方法通过精确地划分记忆的关键大脑区域,有助于放射治疗的计划.

科学领域:

  • 医疗成像医学成像
  • 神经科学是一个神经科学.
  • 人工智能的人工智能
关键词:
深度学习是一种深度学习.海马体的亚体结构细分化 细分化的细分化

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Three-Dimensional Shape Modeling and Analysis of Brain Structures
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Three-Dimensional Shape Modeling and Analysis of Brain Structures

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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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相关实验视频

Last Updated: Jul 24, 2025

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging
11:03

High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging

Published on: November 10, 2015

9.4K
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.1K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

444

背景情况:

  • 海马对于记忆和认知至关重要.
  • 精确的海马细分对于在放射治疗期间避开海马至关重要,以尽量减少毒性.
  • 现有的方法与海马体的复杂形状和小尺寸作斗争.

结论:

  • Hippo-Net在T1wMRI上显示了自动化海马体亚体结构划分的显著前景.
  • 该模型的准确性和效率有可能简化放射治疗规划中的临床工作流程.
  • 这种自动化细分可能会减少医生的工作量,改善患者护理.