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相关概念视频

Phase Diagrams02:39

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A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
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Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
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Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
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Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
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概括

整合超声波和临床数据的人工智能 (AI) 模型准确地区分良性与恶性纤维皮质乳腺病变. 这种人工智能辅助的方法提高了植物瘤 (PTs) 的诊断准确性,减少了错误分类的风险.

关键词:
人工智能的人工智能是人工智能.乳房超声波 乳房超声波是什么?深度学习是一种深度学习.纤维皮质损伤的发生.菲洛德 (Phyllodes) 的瘤是一种瘤.

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科学领域:

  • 放射学和医学成像学 医学成像学
  • 人工智能在医学中的应用
  • 在瘤学瘤学.

背景情况:

  • 纤维皮质乳腺病变,包括纤维腺瘤和乳腺瘤 (PTs),在针活检中构成诊断挑战.
  • 错误分类可能导致对良性病变进行不必要的手术或延迟对恶性PT的治疗.
  • 该AI-FLEET计划旨在通过整合各种数据类型来提高诊断准确性.

研究的目的:

  • 开发和评估人工智能模型,使用超声波和临床数据来区分良性和边缘性/恶性PT.
  • 评估不同深度学习架构在分类纤维皮质病变方面的表现.

主要方法:

  • 对81名经组织学确认的PT患者 (65名良性,16名边缘/恶性) 的回顾性分析.
  • 使用超声波图像和临床变量 (年龄,BMI,种族,更年期状态,回声性,瘤大小) 训练多式深度学习模型 (ConvNeXt,ResNet18).
  • 通过对象分层的五重交叉验证进行评估.

主要成果:

  • 多式联网 ConvNeXt 和 ResNet18 模型实现了高精度 (0.91-0.92) 和 AUC (0.94).
  • 仅超声波和仅临床模型的性能较低 (AUC分别为0.89和0.78).
  • 通过突出性分析,内异质性被确定为一个关键的预测特征.

结论:

  • 多模式深度学习模型有效地区分良性与边缘性/恶性PT.
  • 人工智能辅助的纤维皮质病变评估是可行的,显示出高的诊断准确性.
  • 未来的工作 (第二阶段) 将纳入组织病理学和良性纤维腺瘤病例,以加强整合.