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相关概念视频

Plastic Deformations01:14

Plastic Deformations

741
It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
741
General Case of Eccentric Axial Loading01:12

General Case of Eccentric Axial Loading

691
Unsymmetrical bending occurs when the bending moment applied to a structural member does not align with its principal axis. This misalignment leads to complex stress distributions and deflection patterns that differ from symmetrical bending, which are essential for designing structures to withstand different loading conditions.
Consider a member subjected to equal and opposite forces that are applied along a line that does not coincide with the member's neutral axis. In unsymmetrical...
691
Bending of Curved Members - Strain Analysis01:14

Bending of Curved Members - Strain Analysis

678
The mechanics of deformation in curved members, such as beams or arches, under bending moments, involve complex responses. When such a member, symmetric about the y-axis and shaped like a segment of a circle centered at point C, is subjected to equal and opposite forces, its curvature and surface lengths change significantly. This alteration results in the shift of the curvature's center from C to C', indicating a tighter curve.
The important part of bending analysis for such a member...
678
Plastic Deformations01:19

Plastic Deformations

665
Plastic deformation represents a fundamental concept in materials science, which explains the irreversible change in the shape of a material when it experiences stress beyond its elastic capability. This phenomenon is important in structural engineering, especially in designing and analyzing cantilever beams—structures that are securely fixed at one end and bear loads at the opposite end. When these beams are subjected to loads within their elastic range, they will return to their...
665
Transformation of Plane Strain01:12

Transformation of Plane Strain

673
When analyzing elongated structures like bars subjected to uniformly distributed loads, it is essential to understand the transformation of plane strain when coordinate axes are rotated. This transformation helps to assess how material deformation characteristics vary with orientation, which is crucial in materials science and structural engineering.
Under plane strain conditions, typical for members where one dimension significantly exceeds the others, deformations and resultant strains are...
673
Eccentric Loading01:16

Eccentric Loading

1.3K
Eccentric loading is a crucial concept in the study of structural engineering and mechanics, particularly when analyzing the stability and stress distribution in columns. Unlike centric loading, where the force is applied along the centroidal axis, causing uniform compression, eccentric loading occurs when a force is applied off-center. This off-center application introduces not only direct compressive stress but also bending stress, significantly influencing the column's behavior under...
1.3K

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几何不变异常检测异常检测

Ashay Patel1, Petru-Daniel Tudosiu1, Walter Hugo Lopez Pinaya1

  • 1King's College London, London, WC2R 2LS, United Kingdom.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
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PubMed
概括
此摘要是机器生成的。

这项研究引入了一个空间调节机制,以改进无监督癌症检测模型,使它们对正子发射断层扫描图像几何学变化的变化具有坚固性,以更准确地检测异常.

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科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 在瘤学瘤学.

背景情况:

  • 癌症是一种异质性疾病,这使得检测具有挑战性.
  • 无监督异常检测模型对通用癌症检测有希望.
  • 现有的模型在数据几何学 (例如分辨率,视野) 的变化中扎.

研究的目的:

  • 为无监督癌症检测模型开发一种新的空间调节机制.
  • 提高异常检测模型对不同数据几何形状的适应性.
  • 提高正子发射断层扫描 (PET) 癌症检测的准确性和稳定性.

主要方法:

  • 将一个空间调节机制应用于向量化变量自编码器+变压器 (VQ-VAE+变压器) 模型.
  • 利用无监督学习来检测医学图像中的异常.
  • 在具有不同几何形状的全身PET数据上评估模型性能.

主要成果:

  • 拟议的空间调节机制显著改善了模型性能.
  • 改进后的模型对图像分辨率和视野的变化具有更强的稳定性.
  • 该模型成功地在不同的数据几何形状上进行了推断.

结论:

  • 空间调节是基于VQ-VAE+变压器的异常检测的统计学显著改进.
  • 这种方法提高了AI模型在各种PET成像场景中用于癌症检测的可靠性.
  • 该方法允许适应性和精确的癌症检测,尽管成像数据几何学的变化.