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

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

Enhanced medical image segmentation using optimized bidirectional LSTM and dolphin partner optimizer.

PloS one·2026
Same author

Quadra Sense: A Fusion of Deep Learning Classifiers for Mitosis Detection in Breast Cancer Histopathology.

Diagnostics (Basel, Switzerland)·2026
Same author

DL-PCMNet: Distributed Learning Enabled Parallel Convolutional Memory Network for Skin Cancer Classification with Dermatoscopic Images.

Diagnostics (Basel, Switzerland)·2026
Same author

Intrusion detection using search-based learning optimized ensemble tree classifier model.

PloS one·2025
Same author

Mitosis detection in histopathological images using customized deep learning and hybrid optimization algorithms.

PloS one·2025
Same author

Fuzzy Optimized Attention Network with Multi-Instance Deep Learning (FOAN-MIDL) for Alzheimer's Disease Diagnosis with Structural Magnetic Resonance Imaging (sMRI).

Diagnostics (Basel, Switzerland)·2025

相关实验视频

Updated: Jan 14, 2026

Intracranial Implantation with Subsequent 3D In Vivo Bioluminescent Imaging of Murine Gliomas
09:46

Intracranial Implantation with Subsequent 3D In Vivo Bioluminescent Imaging of Murine Gliomas

Published on: November 6, 2011

21.2K

IV3TM:Inception V3启用了双向长期短期记忆网络,用于大脑瘤分类.

Afnan M Alhassan1, Nouf I Altmami1

  • 1Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia.

PloS one
|October 24, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种新的Inception V3启用双向长期短期记忆网络 (IV3TM),用于使用磁共振成像 (MRI) 改进脑瘤分类. IV3TM模型提高了脑瘤的诊断准确度.

更多相关视频

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

4.1K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.4K

相关实验视频

Last Updated: Jan 14, 2026

Intracranial Implantation with Subsequent 3D In Vivo Bioluminescent Imaging of Murine Gliomas
09:46

Intracranial Implantation with Subsequent 3D In Vivo Bioluminescent Imaging of Murine Gliomas

Published on: November 6, 2011

21.2K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

4.1K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.4K

科学领域:

  • 神经学 神经学
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 大脑瘤是危及生命的神经系统疾病,需要早期诊断才能有效治疗.
  • 深度学习方法已经推进了医学图像分类,但面临着脑瘤复杂性和MRI变异性的挑战.
  • 准确的脑瘤分类对于患者的生存率至关重要.

研究的目的:

  • 为了提出一个先进的深度学习模型,Inception V3启用了双向长期短期记忆网络 (IV3TM),用于脑瘤分类.
  • 通过使用新的预处理和数据增强技术,提高脑瘤分类的性能.
  • 通过磁共振成像 (MRI) 数据提高脑瘤诊断的准确性和可靠性.

主要方法:

  • 实施了一种代加权平均波器用于预处理,以解决MRI图像中的偏差场波动,噪声和模糊.
  • 利用数据增强来增加培训数据集的大小和多样性.
  • 通过集成Inception V3和双向长期短期内存 (BiLSTM) 来开发IV3TM模型,以捕获MRI数据中的顺序依赖性,并使用SqueezeNet进行图像分割.

主要成果:

  • 拟议的IV3TM模型在脑瘤分类方面表现出有效性.
  • 使用特异性,准确性,精度,F1分数和灵敏度等指标评估性能.
  • 使用根平均平方误差 (RMSE) 评估模型错误,在脑MRI和Figshare数据集上显示了令人鼓舞的结果.

结论:

  • IV3TM模型提供了一个有前途的方法,用于从MRI扫描中准确地分类脑瘤.
  • 整合Inception V3和BiLSTM有效地学习脑MRI数据中的复杂结构关系.
  • 提出的方法显示了帮助神经病学家及时准确地诊断脑瘤的潜力.