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Porosity in Cement Paste01:18

Porosity in Cement Paste

465
The porosity of concrete is a measure of the void spaces within its structure. These spaces impact its strength and durability significantly. When water and cement interact, a chemical reaction called hydration creates a semi-solid paste. This paste includes combined water, making up approximately 23% of the cement's dry mass, and gel water, which fills minuscule voids known as gel pores, accounting for about 28% of the cement gel volume.
The balance of water to cement in the mix is...
465
Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Protein Networks02:26

Protein Networks

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Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

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In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
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Network Covalent Solids02:18

Network Covalent Solids

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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
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Muscles that Move the Head01:19

Muscles that Move the Head

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The muscles that move the head are a dynamic and complex group of structures that work together to facilitate a wide range of head movements, including rotation, flexion, extension, and lateral bending.
The bilateral sternocleidomastoid, or SCM, and the suprahyoid and infrahyoid muscles are significant head flexors. The SCM muscles originate at the sternum and clavicle and attach to the mastoid process of the temporal bone. The SCM contracts bilaterally to bend the head forward, whereas...
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Updated: Feb 5, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
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Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

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MCPNet:形態学的制約に基づくコピー&ペーストネットワークを用いた半教師あり胎児頭部セグメンテーション

Baoping Zhu1, Linjie Qu2, Linkuan Zhou3

  • 1Department of Aristogenesis, Department of Obstetrics and Gynecology, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.

The international journal of medical robotics + computer assisted surgery : MRCAS
|February 3, 2026
PubMed
まとめ
この要約は機械生成です。

本研究では、超音波画像における半教師あり胎児頭部セグメンテーションのための新しい手法であるMCPNetを紹介します。MCPNetはセグメンテーション精度を大幅に向上させ、胎児検査における強力な臨床的可能性を示しています。

キーワード:
胎児頭部セグメンテーション半教師あり学習超音波画像

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Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
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Measuring and Interpreting Oxygen Consumption Rates in Whole Fly Head Segments
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Measuring and Interpreting Oxygen Consumption Rates in Whole Fly Head Segments

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関連する実験動画

Last Updated: Feb 5, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
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Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

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Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
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Measuring and Interpreting Oxygen Consumption Rates in Whole Fly Head Segments
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Measuring and Interpreting Oxygen Consumption Rates in Whole Fly Head Segments

Published on: January 7, 2019

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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:

  • 超音波検査からの胎児頭部セグメンテーションは、胎児診断において重要です。
  • 課題には、低解像度、不明瞭な境界、半教師あり学習におけるデータの不一致が含まれます。

研究 の 目的:

  • 効果的な半教師あり胎児頭部セグメンテーション手法を開発すること。
  • 現在の胎児超音波検査におけるセグメンテーション技術の限界に対処すること。

主な方法:

  • 形態学的制約に基づくコピー&ペーストネットワークであるMCPNetを提案しました。
  • 境界の一貫性のためにスコアガイド付き形態学的洗練(SMR)を組み込みました。
  • ラベル付きデータとラベルなしデータのギャップを埋めるために、コピー&ペースト混合拡張(CPMA)を利用しました。

主要な成果:

  • HC18で93.72%、PSFHベンチマークで92.31%のダイススコアを達成しました。
  • ラベル付きデータが20%しかない状態で高いパフォーマンスを示しました。

結論:

  • MCPNetは、胎児頭部セグメンテーションにおいて優れたパフォーマンスを示しています。
  • この手法は、胎児検査において significant な臨床的可能性を秘めています。