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関連する概念動画

Skin Diseases and Disorders01:23

Skin Diseases and Disorders

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Skin is the first line of defense and encounters a variety of microbes. Some pathogenic strains are often the cause of a broad range of infections of the skin and other body systems. These conditions can affect people of all ages and may have different causes, including genetic factors, infections, autoimmune reactions, environmental factors, and lifestyle choices.
Gram-positive Staphylococcus spp. and Streptococcus spp. are responsible for many of the most common skin infections. However, many...
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Social Foundations of Self II: The Generalized Other01:20

Social Foundations of Self II: The Generalized Other

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According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group...
270
Physiological Foundation of Stress01:24

Physiological Foundation of Stress

717
Stress triggers a coordinated physiological response involving the sympathetic nervous system (SNS) and the hypothalamic-pituitary-adrenal (HPA) axis. This dual activation ensures that the body is prepared for both immediate and prolonged stress management. The process begins with the perception of a stressor. This initial phase activates the SNS, leading to the rapid release of adrenaline (epinephrine) from the adrenal glands.
Role of the Sympathetic Nervous System
Adrenaline triggers the...
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Theoretical Foundations of Nursing Practice01:30

Theoretical Foundations of Nursing Practice

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Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
Theories provide a perspective to assess patients' conditions and organize data and methods. They also assist in analyzing and interpreting information. They represent a...
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Bacterial Transformation01:33

Bacterial Transformation

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In 1928, bacteriologist Frederick Griffith worked on a vaccine for pneumonia, which is caused by Streptococcus pneumoniae bacteria. Griffith studied two pneumonia strains in mice: one pathogenic and one non-pathogenic. Only the pathogenic strain killed host mice.
Griffith made an unexpected discovery when he killed the pathogenic strain and mixed its remains with the live, non-pathogenic strain. Not only did the mixture kill host mice, but it also contained living pathogenic bacteria that...
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Social Foundations of Self I: Play and Game01:24

Social Foundations of Self I: Play and Game

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The development of self in children is deeply rooted in social interactions, mainly through stages of play and structured games. These stages, outlined by sociologist George Herbert Mead, illustrate how children progressively learn to understand and adopt social roles, forming a cohesive sense of self.The Play Stage: Imitation and Simple Role-TakingIn the early years of childhood, the play stage is characterized by imitative behavior, where children engage in role-playing based on familiar...
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Updated: Feb 14, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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トランスフォーマーベースの基礎学習は,頑丈でデータ効率の良い皮膚疾患イメージングのための基礎学習です.

Inzamam Mashood Nasir1, Hend Alshaya2, Sara Tehsin3

  • 1Human-Environment-Technology (HET) Systems Centre, Mykolas Romeris University, 08303 Vilnius, Lithuania.

Diagnostics (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

新しいトランスフォーマーベースのファンデーションモデルは,自動化された皮膚顕微鏡病変の分類を改善します. この皮膚科特有のアプローチは,ラベル付きのデータが限られている場合でも,精度と堅実性を高め,主要な臨床的課題に取り組んでいます.

キーワード:
クロスデータセットの汎用化皮膚顕微鏡傷害画像検査デルモスコピーは,ファンデーションモデルのモデルです.医学画像分析 医学画像分析自主指導による学習ビジョントランスフォーマー ビジョントランスフォーマー

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科学分野:

  • 皮膚科における人工知能
  • 医学画像分析 医学画像分析
  • 医療のためのディープラーニング

背景:

  • 自動化された皮膚鏡病変の分類は,データセットのバイアス,限られた専門家データ,および不十分な一般化によって課題に直面しています.
  • これらの制限は,AI診断システムの臨床展開を様々な環境や集団で妨げています.

研究 の 目的:

  • 頑丈な皮膚顕微鏡病変の分類のためのトランスフォーマーベースの皮膚科特別の基礎モデルを提案する.
  • ラベル付けされていないデータに対する自己監督の予習を活用して,可移転視覚表現を学習する.

主な方法:

  • 大規模な自己監督学習と階層的な視力トランスフォーマーを統合した皮膚科特有の基礎モデルを開発しました.
  • ラベル付けされていない皮膚顕微鏡画像でモデルを訓練し,細粒子の質感と全体的なパターンを捕捉しました.
  • ISIC 2018,HAM10000,PH2のデータセットで様々な設定 (インデータセット,クロスデータセット,リミテッドラベル) で評価されたパフォーマンス.

主要な成果:

  • ベースラインモデルを上回る高いインデータセット精度 (94.87%-98.17%) を達成しました.
  • クロスデータセットの転送で一貫したパフォーマンスの向上 (3.5-5.8%) を実証し,ドメインシフトに対する強固さの向上を示しています.
  • 標識されたデータのわずか10%で完全に監督された方法と比較できるパフォーマンスを達成し,強力なデータ効率性を強調しました.

結論:

  • 皮膚病学特有の基礎学習は,堅固な皮膚顕微鏡病変分類のための実用的な解決策を提供します.
  • 提案されたモデルは,限定されたラベルデータとドメインの変動性を含む,現実的な臨床的制約に対処しています.
  • このアプローチは,臨床皮膚科学において,より信頼性の高いAI駆動型診断ツールへの道を開く.