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相关概念视频

Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

304
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
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Altered States of Awareness01:06

Altered States of Awareness

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Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
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Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

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The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
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High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

638
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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Sensory Modalities01:15

Sensory Modalities

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Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
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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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相关实验视频

Updated: Jan 26, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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ThyFusionNet:一个CNN转换器框架,具有空间意识的稀疏注意力,用于多模式甲状腺疾病诊断.

Bing Yang1, Jun Li1, Junyang Chen2

  • 1College of Information Engineering, Sichuan Agricultural University, 46 Xinkang Road, Yucheng District, Ya'an, Sichuan 625000, China; Agricultural Information Engineering Higher Institution Key Laboratory of Sichuan Province, Ya'an, Sichuan 625000, China; Ya'an Digital Agricultural Engineering Technology Research Center, Ya'an, Sichuan 625000, China.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
|January 24, 2026
PubMed
概括

我们开发了ThyFusionNet,这是一种使用CT和超声波图像的深度学习模型,用于准确诊断甲状腺损伤. 这种人工智能方法显著提高了医学成像的诊断准确性和稳定性.

关键词:
甲状腺成像 · 多模式深度学习 · 图像融合 · 注意力机制 · 对比学习.

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The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
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相关实验视频

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科学领域:

  • 医学图像分析 医学图像分析
  • 医疗保健中的人工智能
  • 放射学 放射学是一门学科.

背景情况:

  • 诊断复杂的甲状腺病变是具有挑战性的,因为高发病率和复杂的病理学.
  • 目前的医学图像分析方法需要提高精度和稳定性.

研究的目的:

  • 介绍ThyFusionNet,一种用于增强甲状腺疾病诊断的新型深度学习架构.
  • 利用CT和超声波图像的大规模多式联络数据集 (ThyM3).

主要方法:

  • 开发了ThyFusionNet,这是一个具有卷积和变压器模块的深度学习模型,用于跨模式的功能级融合.
  • 整合了头部智能定位编码和适应性稀疏注意力,以改善语义对齐和空间建模.
  • 使用跳过连接,封闭注意力融合,以及自适应的对比损失函数.

主要成果:

  • 与现有的领先方法相比,ThyFusionNet表现出卓越的准确性,稳定性和通用性.
  • 该模型有效地利用来自多式甲状腺成像数据的互补信息.
  • 实验结果强调了该模型在临床应用中的潜力.

结论:

  • ThyFusionNet在针对甲状腺疾病的AI驱动医学图像分析方面取得了重大进展.
  • 多式联络方式和新的架构增强了诊断能力.
  • 这项研究强调了先进的深度学习在放射学中的临床部署潜力.