• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

皮肤镜图像结构分析技术。

Techniques for a structural analysis of dermatoscopic imagery.

作者信息

Fleming M G, Steger C, Zhang J, Gao J, Cognetta A B, Pollak I, Dyer C R

机构信息

Department of Dermatology, Medical College of Wisconsin and Zablocki VA Hospital, Milwaukee, USA.

出版信息

Comput Med Imaging Graph. 1998 Sep-Oct;22(5):375-89. doi: 10.1016/s0895-6111(98)00048-2.

DOI:10.1016/s0895-6111(98)00048-2
PMID:9890182
Abstract

Techniques were developed for automated detection and characterization of dermatoscopic structures, including the pigment network and brown globules. These techniques incorporate algorithms for grayscale shape extraction based on differential geometry developed by Steger, a snake algorithm, and a modification of the region competition strategy of Zhu and Yuille. A novel approach was developed for global segmentation of pigmented lesions, based on stabilized inverse diffusion equations. Procedures for detection of air bubbles and hairs in dermatoscopic images are also reported.

摘要

已开发出用于自动检测和表征皮肤镜结构的技术,包括色素网络和棕色小球。这些技术纳入了基于Steger开发的微分几何的灰度形状提取算法、一种蛇形算法以及对Zhu和Yuille的区域竞争策略的改进。基于稳定的逆扩散方程,开发了一种用于色素沉着病变全局分割的新方法。还报告了检测皮肤镜图像中气泡和毛发的程序。

相似文献

1
Techniques for a structural analysis of dermatoscopic imagery.皮肤镜图像结构分析技术。
Comput Med Imaging Graph. 1998 Sep-Oct;22(5):375-89. doi: 10.1016/s0895-6111(98)00048-2.
2
A robust hair segmentation and removal approach for clinical images of skin lesions.一种用于皮肤病变临床图像的强大毛发分割与去除方法。
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:3315-8. doi: 10.1109/EMBC.2013.6610250.
3
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.HAM10000 数据集,一个大型的常见色素性皮肤病变多源皮肤镜图像集合。
Sci Data. 2018 Aug 14;5:180161. doi: 10.1038/sdata.2018.161.
4
Computer-assisted analysis of epiluminescence microscopy images of pigmented skin lesions.色素沉着性皮肤病变的落射荧光显微镜图像的计算机辅助分析。
Cytometry. 1999 Dec 1;37(4):255-66.
5
A novel method for detection of pigment network in dermoscopic images using graphs.一种使用图论检测皮肤镜图像中色素网络的新方法。
Comput Med Imaging Graph. 2011 Mar;35(2):137-43. doi: 10.1016/j.compmedimag.2010.07.002. Epub 2010 Aug 17.
6
Automated segmentation of pigmented skin lesions in multispectral imaging.多光谱成像中色素性皮肤病变的自动分割
Phys Med Biol. 2005 Nov 21;50(22):N345-57. doi: 10.1088/0031-9155/50/22/N01. Epub 2005 Nov 1.
7
Computational methods for the image segmentation of pigmented skin lesions: A review.色素性皮肤病变图像分割的计算方法:综述
Comput Methods Programs Biomed. 2016 Jul;131:127-41. doi: 10.1016/j.cmpb.2016.03.032. Epub 2016 Apr 8.
8
An incremental approach to pigmented skin lesion segmentation with classification refinements in uncertain regions.一种用于色素沉着性皮肤病变分割的增量方法,在不确定区域进行分类优化。
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4002-5. doi: 10.1109/EMBC.2012.6346844.
9
Segmenting skin lesions with partial-differential-equations-based image processing algorithms.使用基于偏微分方程的图像处理算法分割皮肤病变。
IEEE Trans Med Imaging. 2000 Jul;19(7):763-7. doi: 10.1109/42.875204.
10
Automated feature detection in digital images of skin.皮肤数字图像中的自动特征检测。
Comput Methods Programs Biomed. 1991 Jan;34(1):41-60. doi: 10.1016/0169-2607(91)90081-4.

引用本文的文献

1
SharpRazor: Automatic removal of hair and ruler marks from dermoscopy images.SharpRazor:自动去除皮肤镜图像中的毛发和标尺标记。
Skin Res Technol. 2023 Apr;29(4):e13203. doi: 10.1111/srt.13203.
2
Automated Measurement of Geometric Features in Curvilinear Structures Exploiting Steger's Algorithm.利用 Steger 算法自动测量曲线结构的几何特征。
Sensors (Basel). 2023 Apr 16;23(8):4023. doi: 10.3390/s23084023.
3
Fully Automated Approach for Early Detection of Pigmented Skin Lesion Diagnosis Using ABCD.使用ABCD法对色素性皮肤病变诊断进行早期检测的全自动方法。
J Healthc Inform Res. 2020 Mar 3;4(2):151-173. doi: 10.1007/s41666-020-00067-3. eCollection 2020 Jun.
4
ASCU-Net: Attention Gate, Spatial and Channel Attention U-Net for Skin Lesion Segmentation.ASCU-Net:用于皮肤病变分割的注意力门控、空间和通道注意力U-Net
Diagnostics (Basel). 2021 Mar 12;11(3):501. doi: 10.3390/diagnostics11030501.
5
Pulsed-Focused Ultrasound Slows B16 Melanoma and 4T1 Breast Tumor Growth through Differential Tumor Microenvironmental Changes.脉冲聚焦超声通过不同的肿瘤微环境变化减缓B16黑色素瘤和4T1乳腺肿瘤的生长。
Cancers (Basel). 2021 Mar 27;13(7):1546. doi: 10.3390/cancers13071546.
6
Hair detection and lesion segmentation in dermoscopic images using domain knowledge.利用领域知识进行皮肤镜图像中的毛发检测和病灶分割。
Med Biol Eng Comput. 2018 Nov;56(11):2051-2065. doi: 10.1007/s11517-018-1837-9. Epub 2018 May 15.
7
Noninvasive Real-Time Automated Skin Lesion Analysis System for Melanoma Early Detection and Prevention.用于黑色素瘤早期检测和预防的非侵入式实时自动皮肤病变分析系统。
IEEE J Transl Eng Health Med. 2015 Apr 3;3:2900310. doi: 10.1109/JTEHM.2015.2419612. eCollection 2015.
8
Classification of reticular pattern and streaks in dermoscopic images based on texture analysis.基于纹理分析的皮肤镜图像中网纹和条纹的分类
J Med Imaging (Bellingham). 2015 Oct;2(4):044503. doi: 10.1117/1.JMI.2.4.044503. Epub 2015 Dec 29.
9
Correction method for line extraction in vision measurement.视觉测量中直线提取的校正方法。
PLoS One. 2015 May 18;10(5):e0127068. doi: 10.1371/journal.pone.0127068. eCollection 2015.
10
A new technique for quantitative analysis of hair loss in mice using grayscale analysis.一种使用灰度分析对小鼠脱发进行定量分析的新技术。
J Vis Exp. 2015 Mar 9(97):52185. doi: 10.3791/52185.