相关实验视频

Updated: Jul 5, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.8K

在使用基于深度学习的注意力转换器和心电图的年轻患者中识别先天性膜声

Mohanad Alkhodari, Leontios J Hadjileontiadis, Ahsan H Khandoker

    IEEE journal of biomedical and health informatics
    |January 23, 2024
    PubMed
    概括

    一个新的深度学习模型使用心脏声音记录 (心声学) 来自动检测先天性心脏病 (CHD). 这种具有成本效益的工具有助于年轻患者的早期诊断,克服了传统心声回声学的局限性.

    更多相关视频

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    405
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.8K

    相关概念视频

    Cardiovascular System Abnormal Findings II: Auscultation01:25

    Cardiovascular System Abnormal Findings II: Auscultation

    Auscultation, an essential part of a heart examination, is done using a stethoscope. It provides crucial information about heart function and possible heart problems. Due to heart problems, abnormal sounds can be heard during systole or diastole. These sounds include S3 and S4 gallops, opening snaps, systolic clicks, and murmurs.
    Abnormal Heart Sounds
    Gallops:
    150
    Heart Sounds01:15

    Heart Sounds

    Heart sounds are generated by the turbulence in blood flow due to the closing of heart valves. These sounds are best perceived slightly away from the valves, where the blood flow disseminates the sound.
    Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
    S1, also known as the "lub" sound, is caused by the closure of atrioventricular (A-V)...
    1.9K