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相关概念视频

Secondary Active Transport01:55

Secondary Active Transport

One example of how cells use the energy contained in electrochemical gradients is demonstrated by glucose transport into cells. The ion vital to this process is sodium (Na+), which is typically present in higher concentrations extracellularly than in the cytosol. Such a concentration difference is due, in part, to the action of an enzyme “pump” embedded in the cellular membrane that actively expels Na+ from a cell. Importantly, as this pump contributes to the high concentration of...
Secondary Active Transport01:32

Secondary Active Transport

One example of how cells use the energy contained in electrochemical gradients is demonstrated by glucose transport into cells. The ion vital to this process is sodium (Na+), which is typically present in higher concentrations extracellularly than in the cytosol. Such a concentration difference is due, in part, to the action of an enzyme "pump" embedded in the cellular membrane that actively expels Na+ from a cell. Importantly, as this pump contributes to the high concentration of...
Insertion of Multi-pass Transmembrane Proteins in the RER01:29

Insertion of Multi-pass Transmembrane Proteins in the RER

The rough ER membrane synthesizes, assembles, and embeds transmembrane proteins in diverse topologies. These proteins function as transporters or channels and can remain in the ER membrane or are sent to the Golgi complex, lysosome, and cell membrane.
The multipass transmembrane proteins are the type IV integral membrane proteins with multiple topogenic sequences determining their spatial arrangement in the ER membrane. Nearly all multipass proteins lack a cleavable signal sequence and use...
IP3/DAG Signaling Pathway01:11

IP3/DAG Signaling Pathway

Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and produces two-second...
Secondary Active Transport01:32

Secondary Active Transport

One example of how cells use the energy contained in electrochemical gradients is demonstrated by glucose transport into cells. The ion vital to this process is sodium (Na+), which is typically present in higher concentrations extracellularly than in the cytosol. Such a concentration difference is due, in part, to the action of an enzyme "pump" embedded in the cellular membrane that actively expels Na+ from a cell. Importantly, as this pump contributes to the high concentration of...
Capillary Exchange01:28

Capillary Exchange

The cardiovascular system's chief role is to disseminate gases, nutrients, waste, and other substances to the body's cells. Small molecules like gases, lipids, and lipid-soluble substances directly diffuse through capillary wall endothelial cell membranes. Glucose, amino acids, and ions, including sodium, potassium, calcium, and chloride, use transporters for facilitated diffusion via membrane-specific channels. Glucose, ions, and bigger molecules may also pass through intercellular clefts.

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Updated: May 8, 2026

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
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一个双域合作网络用于聚片细分.

Yao Tong, Zuojian Zhou, Kongfa Hu

    IEEE journal of biomedical and health informatics
    |December 30, 2025
    PubMed
    概括
    此摘要是机器生成的。

    准确的结肠直肠癌检测依赖于结肠镜图像中的精确的聚细分. 一个新的双域协作网络 (DDCNet) 增强了边界特征和跨层次表示,大大提高了细分精度.

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

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    科学领域:

    • 医疗成像医学成像
    • 计算机视觉 计算机视觉
    • 人工智能的人工智能

    背景情况:

    • 在结肠镜检查中精确的息肉细分对于早期发现结肠直肠癌至关重要.
    • 现有的方法与模糊的边界和规模变化作斗争,限制了细分的准确性.

    研究的目的:

    • 引入一个新的双域协作网络 (DDCNet),以改进聚细分.
    • 为了解决边界特征优化和交叉级别表示对齐方面的局限性.

    主要方法:

    • 开发了一个频率上下文增强模块 (FCEM) 来改进频率域特征.
    • 引入了一个跨层次的转移重新校准的融合模块 (CSFM) 用于空间域特征对齐.
    • 设计了一种混合损失函数,结合了边界,交叉和频率一致性损失.

    主要成果:

    • 在三个基准数据集 (Kvasir SEG,CVC-ClinicDB,CVC-ColonDB) 上,DDCNet实现了最先进的性能.
    • 实现了0.9343,0.9447和0.8155的子系数,超过了现有方法的1.0%-1.5%.
    • 废弃性研究证实了FCEM,CSFM和混合损失函数的有效性.

    结论:

    • 通过增强边界特征和交叉水平对齐,DDCNet有效地提高了聚细分的准确性.
    • 拟议的方法为在结肠镜检查中自动检测多重体提供了重大进步.
    • 混合损失函数和新型模块有助于优越的细分性能.