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

Skin Cancer01:30

Skin Cancer

4.1K
Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
4.1K

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

Dental image analysis and surgical decision support using modified generative adversarial networks.

BMC oral health·2026
Same author

Dominant cross-frequency analysis-based early diagnosis of Autism Spectrum Disorder in pediatrics using FRHIS and DSTCNN.

Psychiatry research. Neuroimaging·2026
Same author

Robust Brain Tumor Detection and Classification From Multichannel MRI Using Deep Learning.

Developmental neurobiology·2025
Same author

A Robust Malaria Cell Detection Framework Using Adaptive and Atrous Convolution-Based Recurrent Mobilenetv2 with Trans-MobileUNet + + -Based Abnormality Segmentation.

Journal of imaging informatics in medicine·2024
Same author

ACO-KELM: Anti Coronavirus Optimized Kernel-based Softplus Extreme Learning Machine for Classification of Skin Cancer.

Expert systems with applications·2023
Same author

Influential role of 7-Ketocholesterol in the progression of Alzheimer's disease.

Prostaglandins & other lipid mediators·2021

相关实验视频

Updated: Jun 25, 2025

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

2.3K

使用DL基技术检测皮肤恶性病变的高维数据分类的评估.

B Gunasundari1, R Thiagarajan1

  • 1Department of Computer Science and Engineering, Prathyusha Engineering College, Chennai, Tamil Nadu, India.

Cancer investigation
|May 20, 2024
PubMed
概括

这项研究引入了Isomap与视觉变压器,以从高维图像中改进皮肤癌分类. 这种方法提高了皮肤病变的诊断准确度,有助于早期检测和治疗.

科学领域:

  • 皮肤病学 皮肤病学
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 皮肤癌的诊断依赖于视觉查和病理分析.
  • 高维图像数据在准确分类方面存在挑战.
  • 深度学习方法对于提高皮肤癌检测率至关重要.

研究的目的:

  • 为了评估Isomap与视力变压器相结合的有效性,用于皮肤癌症分类.
  • 提高分析高维皮肤病变数据集的准确性和效率.
  • 为了提高恶性与良性皮肤病变的分类.

主要方法:

  • 使用Isomap,一种非线性维度减小技术,以保存内在数据结构.
  • 采用视觉转换器模型来分析高维医学图像.
  • 进行比较分析以评估分类绩效指标.

主要成果:

  • 异地图有效地减少了数据的复杂性,同时保留了对分类的基本特征.
  • 结合Isomap和视力变压器,在皮肤病变的分类方面表现出更高的准确性.
  • 皮肤病变数据中的非线性关系得到了更好的保存,有助于区分.

结论:

关键词:
皮肤的恶性瘤.这是分类分类的分类.深度学习是一种深度学习.高维的图像是高维的图像.绩效评价 绩效评价 绩效评价 绩效评价 绩效评价皮肤病变 皮肤病变

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

2.7K
Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

16.8K

相关实验视频

Last Updated: Jun 25, 2025

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

2.3K
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

2.7K
Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

16.8K
  • 带有视觉变压器的Isomap为准确的皮肤癌分类提供了一个有希望的方法.
  • 这种方法提高了复杂,高维的皮肤病变数据集的分析.
  • 改进的分类准确性可以有助于在皮肤癌检测中获得更好的患者结果.