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相关概念视频

Positron Emission Tomography01:29

Positron Emission Tomography

4.2K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
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Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
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相关实验视频

Updated: Jun 25, 2025

Radiosynthesis, Quality Control, and Small Animal Positron Emission Tomography Imaging of 68Ga-Labelled Nano Molecules
09:55

Radiosynthesis, Quality Control, and Small Animal Positron Emission Tomography Imaging of 68Ga-Labelled Nano Molecules

Published on: October 4, 2024

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探索和利用多模式不确定性用于PET/CT上的瘤细分.

Susu Kang, Yixiong Kang, Shan Tan

    IEEE journal of biomedical and health informatics
    |May 22, 2024
    PubMed
    概括

    这项研究探讨了PET/CT瘤细分的多模式不确定性,引入了一个新的损失函数. 新方法提高了细分精度,减少了预测不确定性,提高了临床安全性.

    科学领域:

    • 医疗成像医学成像
    • 人工智能的人工智能
    • 计算生物学 计算生物学

    背景情况:

    • 深度学习在多模式细分方面表现出色,但往往产生确定性输出,缺乏关键的不确定性估计.
    • 来自确定性模型的过度自信预测在安全关键的临床环境中存在风险,例如瘤细分.
    • 现有的不确定性估计方法主要集中在单模网络上,不充分探索多模网络的不确定性.

    研究的目的:

    • 调查PET/CT瘤细分中的多模式不确定性.
    • 与单一模式方法相比,评估多模式不确定性的好处和特点.
    • 开发一种新的不确定性驱动损失函数,以改善多模式瘤细分.

    主要方法:

    • 评估了多模式PET/CT瘤细分的四种已确定的不确定性估计方法.
    • 分析了细分性能,不确定性质量和与模式间信息的相关性.
    • 引入并评估了一种新的不确定性驱动损失函数,以利用补充的模式信息.

    主要成果:

    • 获得了对多模式不确定性所带来的好处和信息的洞察力.
    • 证明拟议的不确定性驱动损失改善了细分性能 (在两个数据集上增加了4.53%和2.92%).
    • 这种新的方法实现了优越的细分精度,同时降低了预测不确定性.

    更多相关视频

    Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
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    Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

    Published on: February 18, 2015

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    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

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    相关实验视频

    Last Updated: Jun 25, 2025

    Radiosynthesis, Quality Control, and Small Animal Positron Emission Tomography Imaging of 68Ga-Labelled Nano Molecules
    09:55

    Radiosynthesis, Quality Control, and Small Animal Positron Emission Tomography Imaging of 68Ga-Labelled Nano Molecules

    Published on: October 4, 2024

    354
    Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
    09:21

    Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

    Published on: February 18, 2015

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    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    1.1K

    结论:

    • 多模式不确定性为PET/CT瘤细分提供了宝贵的见解.
    • 将多模式不确定性纳入细分网络可以显著提高性能和可靠性.
    • 开发的不确定性驱动损失函数有效地利用PET和CT模式之间的互补信息.