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Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.6K
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

1.3K
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Reducing Line Loss01:18

Reducing Line Loss

524
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
524
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

973
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
973
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

893
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
893
Methods of Medium Optimization01:28

Methods of Medium Optimization

70
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
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相关实验视频

Updated: May 6, 2026

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
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Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

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多级值图像细分基于一种新的机制增强的coati优化算法.

Jiang Liu1, Siyu Yang2, Wencheng Liu2

  • 1Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China. liujiang@usst.edu.cn.

Scientific reports
|February 24, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了ENCOA,这是一个用于多级值图像分割的增强优化器. 恩科亚改善了全球和本地搜索平衡,防止过早的融合,以在高值水平上准确细分灰度和彩色图像.

关键词:
适应性搜索机制 适应性搜索机制科蒂优化算法 科蒂优化算法多级值图像细分 多级值图像细分多种策略多种策略.萨尔普群群优化算法 萨尔普群群优化算法

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科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 图像处理 图像处理

背景情况:

  • 超启发式算法在多级值图像细分方面表现出色.
  • 现有的方法在平衡全球/本地搜索,过早的融合和多任务细分方面扎.

研究的目的:

  • 为多级值图像分割开发一个增强的优化器.
  • 为了解决处理多个目标函数,多种图像类型 (灰度/颜色) 和高值水平的局限性.
  • 改善全球勘探和当地开发的平衡,防止过早的趋同.

主要方法:

  • 提出了一种新的搜索机制,ASSM (Salp Swarm优化算法),用于DP算法.
  • 开发了ENsemble协作优化器 (ENCOA) 框架,使用分层垂直-水平搜索 (HVHS).
  • 将改进的循环混乱映射,基于对立的学习和莱维飞行策略集成到ENCOA.

主要成果:

  • 在CEC2017基准和工程问题上,ENCOA表现优异.
  • 用卡普尔的和奥图的方差来分割灰度和彩色图像.
  • 实现了更高的趋同准确度和细分质量,特别是在高值水平 (4-32).

结论:

  • ENCOA有效地克服了用于图像分割的现有元启发式算法的局限性.
  • 拟议的框架为复杂的细分任务提供了显著的准确性和效率改进.
  • 恩科亚显示了高级图像分割应用的巨大潜力.