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相关概念视频

Design Example: Maintaining Level of an Embankment01:19

Design Example: Maintaining Level of an Embankment

Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
Plane Potential Flows01:23

Plane Potential Flows

Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform Flow
Uniform flow...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Design Example: Alignment of a Road Line Using GIS

The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...

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Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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DR-ConvNeXt:用于重建ConvNeXt模型结构的DR分类方法.

Pengfei Song1,2, Yun Wu1,2

  • 1State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China.

Journal of X-ray science and technology
|February 20, 2025
PubMed
概括
此摘要是机器生成的。

一个新的深度学习模型DR-ConvNeXt使用先进的卷积结构和一种新的损失函数准确地分类糖尿病视网膜病变 (DR). 这种方法在诊断DR方面具有显著的优势,DR是导致失明的主要原因.

关键词:
接下来我们来谈谈一下.在DR的分类,DR的分类.糖尿病视网膜病变 糖尿病视网膜病变它是双分支的双分支.主要-辅助损失功能的功能.

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科学领域:

  • 眼科医生 眼科 眼科
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 糖尿病视网膜病变 (DR) 是糖尿病的一种严重并发症,导致劳动年龄人口视力丧失.
  • 从视网膜图像中对DR进行分类是具有挑战性的,因为病变分布和变异性复杂.
  • 准确的DR检测对于及时干预和预防失明至关重要.

研究的目的:

  • 开发一种自动化方法,DR-ConvNeXt,用于精确分类糖尿病视网膜病变的病变类型.
  • 通过先进的深度学习技术,提高糖尿病视网膜病变诊断的准确性.

主要方法:

  • 在DR-ConvNeXt模型中使用双分支的加法卷积结构.
  • 增加了堆叠的ConvNeXt 块卷积层被纳入.
  • 为了提高分类性能,引入了一个独特的初级-辅助损失函数.

主要成果:

  • 在APTOS数据集上,DR-ConvNeXt实现了91.8%的准确度,81.6%的灵敏度和97.9%的特异性.
  • 在Messidor-2数据集上,该模型获得了83.6%的准确度,74.0%的灵敏度和94.6%的特异性.
  • 该模型在两个数据集上的所有评估指标上都表现出卓越的性能.

结论:

  • 该DR-ConvNeXt模型在分类糖尿病视网膜病变方面表现出显著的优势.
  • 拟议的方法为准确和自动化DR诊断提供了一个有希望的方法.
  • 增强的分类性能突显了DR-ConvNeXt在临床环境中的潜力.