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関連する概念動画

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
04:25

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ポリープセグメンテーションのためのデュアルドメイン協調ネットワーク

Yao Tong, Zuojian Zhou, Kongfa Hu

    IEEE journal of biomedical and health informatics
    |December 30, 2025
    PubMed
    まとめ
    この要約は機械生成です。

    正確な大腸がん検出は、結腸内視鏡検査画像の正確なポリープセグメンテーションに依存しています。新しいデュアルドメイン協調ネットワーク（DDCNet）は、境界特徴とクロスレベル表現を強化し、セグメンテーション精度を大幅に向上させます。

    キーワード:
    ポリープセグメンテーション大腸がん検出結腸内視鏡検査デュアルドメイン協調ネットワーク深層学習

    さらに関連する動画

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    DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma
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    DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma

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    関連する実験動画

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    科学分野:

    • 医用画像処理
    • コンピュータビジョン
    • 人工知能

    背景:

    • 結腸内視鏡検査における正確なポリープセグメンテーションは、大腸がんの早期検出に不可欠です。
    • 既存の方法は、不明瞭な境界とスケールの変動に対処するのが難しく、セグメンテーション精度を制限しています。

    研究 の 目的:

    • ポリープセグメンテーションを改善するための新しいデュアルドメイン協調ネットワーク（DDCNet）を導入すること。
    • 境界特徴の最適化とクロスレベル表現の整合性の限界に対処すること。

    主な方法:

    • 周波数ドメイン特徴を洗練するための周波数コンテキストエンハンスメントモジュール（FCEM）を開発しました。
    • 空間ドメイン特徴の整合性のためのクロスレベルシフト再調整融合モジュール（CSFM）を導入しました。
    • 境界、クロスエントロピー、および周波数整合性損失を組み合わせたハイブリッド損失関数を設計しました。

    主要な成果:

    • DDCNetは、3つのベンチマークデータセット（Kvasir SEG、CVC-ClinicDB、CVC-ColonDB）で最先端のパフォーマンスを達成しました。
    • Dice係数0.9343、0.9447、0.8155を達成し、既存の方法を1.0％〜1.5％上回りました。
    • アブレーションスタディにより、FCEM、CSFM、およびハイブリッド損失関数の有効性が確認されました。

    結論:

    • DDCNetは、境界特徴とクロスレベルの整合性を強化することにより、ポリープセグメンテーションの精度を効果的に向上させます。
    • 提案された方法は、結腸内視鏡検査における自動ポリープ検出に大きな進歩をもたらします。
    • ハイブリッド損失関数と新しいモジュールが、優れたセグメンテーションパフォーマンスに貢献しています。