相关实验视频

Updated: Sep 12, 2025

A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions

A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions

Published on: March 3, 2023

基于MRI的卵巢损伤分类通过基础细分模型和多模式分析:一个多中心研究

Wen-Chi Hsu^1,2, Yuli Wang³, Yu-Fu Wu²

¹Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md.

|August 5, 2025

概括

人工智能 (AI) 使用分段任何模型 (SAM) 和深度学习 (DL) 准确地在MRI扫描上对卵巢病变进行分类. 这种高效的管道与放射科医生的性能相匹配,减少了细分时间,以更好地表征卵巢病变.

科学领域:

放射学放射学是指放射学
人工智能的人工智能
医疗成像医学成像

背景情况:

人工智能 (AI) 显示出在提高MRI上卵巢病变的诊断准确度方面的潜力.
然而,人工智能模型在各种数据集中的通用性仍然不确定.
开发高效和强大的AI管道对于临床应用至关重要.

研究的目的:

开发一个高效和可通用的AI管道用于使用MRI进行卵巢病变的表征.
将自动细分与深度学习分类集成在一起,以提高诊断性能.
将AI管道的性能与专家放射科医生的性能进行比较.

主要方法:

来自三个机构的多参数MRI数据集的回顾性分析.
使用Meta的任何细分模型 (SAM) 进行自动化损伤细分.
培训和对DenseNet-121深度学习 (DL) 模型的外部验证,该模型包含成像和临床数据.

主要成果:

通过SAM辅助的细分,每次损伤的处理时间缩短了4分钟,并且子系数高 (0.86-0.88).
DL模型在接收器操作特征曲线 (AUC) 下的区域内在为0.85,外部为0.79.
人工智能分类的表现与放射科医生的表现相当 (AUC: 0.84-0.93,P > .05).

结论:

开发了一个精确和高效的AI管道,集成SAM和DL用于MRI上的卵巢病变分类.
管道证明了与放射科医生可比的减少细分时间和性能.
这种方法为区分良性和恶性卵巢病变提供了一个有希望的工具.

更多相关视频

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

相关概念视频

Imaging Studies I: CT and MRI

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...

Imaging Studies IV: Magnetic Resonance Imaging

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...