Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Leaky Scanning02:28

Leaky Scanning

5.7K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.7K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.6K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.6K
Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

1.5K
The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
1.5K
Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

1.2K
Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
1.2K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

901
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...
901
Associative Learning01:27

Associative Learning

1.3K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
1.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Applying Artificial Intelligence to Facial Feminization Surgery: Understanding of Facial Anatomy, Surgical Techniques, and Patient Education.

Facial plastic surgery & aesthetic medicine·2025
Same author

Assessing the use of cardiac ultrasound as an adjunct to physiology education at the medical school level.

Advances in physiology education·2025
Same author

Concordance of Oncotype DX Breast Recurrence Score Assay Results Between Paired Core Needle Biopsy and Surgical Excision Specimens in Hormone Receptor Positive, Human Epidermal Growth Factor Receptor 2 Negative, Early-Stage Breast Cancer.

JCO precision oncology·2025
Same author

High-Chondrocyte-Viability Osteochondral Allograft Transplantation in the Knee for Revision of Failed Cartilage Repair Procedures.

The journal of knee surgery·2025
Same author

A Rating Scale for Obtaining Specific, Actionable Evaluations of Nasolabial Aesthetics after Unilateral Cleft Lip Repair.

Plastic and reconstructive surgery·2025
Same author

Fixation of an Osteochondral Fracture of the Lateral Femoral Condyle With Knotless Suture Anchors.

Arthroscopy techniques·2025

相关实验视频

Updated: Feb 7, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

10.8K

深度学习软件和修订的2D模型用于在微型CT扫描中分割骨.

Andrew H Lee1,2,3,4, Ganesh Talluri5, Manan Damani4

  • 1Department of Anatomy, College of Graduate Studies, Midwestern University, Glendale, AZ, United States.

Frontiers in bioinformatics
|February 6, 2026
PubMed
概括

一个修订后的深度学习模型,BP-2D-03,在微型CT扫描中增强了骨细分,跨越了各种物种和条件. BONe DL软件提供了强大的,可重复的结果,改善了骨多孔性的自动分析.

关键词:
人工智能的人工智能是人工智能.一个叫Avizo的小鸟.骨头 骨头 骨头 骨头骨髓 骨髓 骨髓 骨髓 骨髓哺乳动物哺乳动物语义细分 语义细分 语义细分 语义细分

更多相关视频

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

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

Published on: November 30, 2022

3.5K
Leveraging Micro-CT Scanning to Analyze Parasitic Plant-Host Interactions
06:23

Leveraging Micro-CT Scanning to Analyze Parasitic Plant-Host Interactions

Published on: January 12, 2022

2.4K

相关实验视频

Last Updated: Feb 7, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

10.8K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

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

Published on: November 30, 2022

3.5K
Leveraging Micro-CT Scanning to Analyze Parasitic Plant-Host Interactions
06:23

Leveraging Micro-CT Scanning to Analyze Parasitic Plant-Host Interactions

Published on: January 12, 2022

2.4K

科学领域:

  • 生物医学成像技术 生物医学成像技术
  • 计算生物学 计算生物学
  • 机器学习 机器学习

背景情况:

  • 深度学习 (DL) 在微型CT中在各种数据集中与骨细分概括作斗争.
  • 现有的DL模型面临着数据泄露,高内存使用量和有限的多GPU支持等挑战.

研究的目的:

  • 介绍BP-2D-03,一个修订的二维骨孔细分模型,用于改进微型CT骨分析.
  • 引入BONe DL软件接口 (BONe DLFit,BONe DLPred,BONe IoU) 用于管理大型,多样化的数据集.
  • 评估模型的稳定性,跨不同架构的性能和跨平台的可重现性.

主要方法:

  • 训练BP-2D-03在一个数据集的20个微型CT扫描从五种哺乳动物 (142,960图像补丁) 的数据集.
  • 利用DL软件界面,使用模块进行培训,预测和评估.
  • 进行了5倍交叉验证,对架构/补丁大小进行了基准测试,并进行了跨平台一致性测试.

主要成果:

  • BP-2D-03在种子中表现出稳定,高的交界度 (IoU) 平均值,在非典型扫描中有一些变化.
  • 使用简单的卷积骨架构的U-Net和UNet++架构实现了接近0.97.9的IoU值.
  • 在不同的硬件,操作系统和软件实现中,细分结果一致.

结论:

  • BONe DL软件为微型CT数据中的骨细分提供了可靠的基线.
  • 开发的工具解决了DL模型培训和部署的先前限制.
  • 该模型和软件确保可复制和可靠的自动化骨分割在各种应用程序.