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Regulation of Stroke Volume01:27

Regulation of Stroke Volume

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The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
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Neural Regulation of Blood Pressure01:18

Neural Regulation of Blood Pressure

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The neural regulation of blood pressure involves intricate interactions between the autonomic nervous system (ANS) and cardiovascular system, ensuring adequate perfusion of tissues. This regulation primarily occurs through baroreceptor and chemoreceptor reflexes, involving both short-term and long-term mechanisms.
Baroreceptor Reflex
Baroreceptors, located in the carotid sinuses and aortic arch, detect changes in blood pressure. When blood pressure rises, these stretch-sensitive receptors...
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プライバシーを考慮したマルチモデル連合学習フレームワークと連合平均アルゴリズムによる深部静脈血栓症のセグメンテーション

Pavihaa Lakshmi B1, Vidhya S2

  • 1School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, 632014, India.

Scientific reports
|February 26, 2026
PubMed
まとめ

本研究では、コンピュータ断層撮影(CT)スキャンを用いた深部静脈血栓症(DVT)の正確なセグメンテーションのための連合学習(FedL)アプローチを紹介します。FedAvgアルゴリズムは、多様なデータセットとクライアントモデル全体でデータプライバシーを維持しながら、モデルのパフォーマンスを向上させました。

キーワード:
CT深部静脈血栓症セグメンテーション連合平均連合学習モデル集約Non-IIDデータ

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