亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Hyperspectral imaging-based cutaneous wound classification using neighbourhood extraction 3D convolutional neural network

高光谱成像 长方体 卷积神经网络 人工智能 模式识别(心理学) 计算机科学 像素 多光谱图像 邻里(数学) 特征提取 计算机视觉 数学 几何学 数学分析
作者
Mücahit Cihan,Murat Ceylan
出处
期刊:Biomedizinische Technik [De Gruyter]
卷期号:68 (4): 427-435 被引量:1
标识
DOI:10.1515/bmt-2022-0179
摘要

Hyperspectral imaging is an emerging imaging modality that beginning to gain attention for medical research and has an important potential in clinical applications. Nowadays, spectral imaging modalities such as multispectral and hyperspectral have proven their ability to provide important information that can help to better characterize the wound. Oxygenation changes in the wounded tissue differ from normal tissue. This causes the spectral characteristics to be different. In this study, it is classified cutaneous wounds with neighbourhood extraction 3-dimensional convolutional neural network method.The methodology of hyperspectral imaging performed to obtain the most useful information about the wounded and normal tissue is explained in detail. When the hyperspectral signatures of wounded and normal tissues are compared on the hyperspectral image, it is revealed that there is a relative difference between them. By taking advantage of these differences, cuboids that also consider neighbouring pixels are generated, and a uniquely designed 3-dimensional convolutional neural network model is trained with the cuboids to extract both spatial and spectral information.The effectiveness of the proposed method was evaluated for different cuboid spatial dimensions and training/testing rates. The best result with 99.69% was achieved when the training/testing rate was 0.9/0.1 and the cuboid spatial dimension was 17. It is observed that the proposed method outperforms the 2-dimensional convolutional neural network method and achieves high accuracy even with much less training data. The obtained results using the neighbourhood extraction 3-dimensional convolutional neural network method show that the proposed method highly classifies the wounded area. In addition, the classification performance and the2computation time of the neighbourhood extraction 3-dimensional convolutional neural network methodology were analyzed and compared with existing 2-dimensional convolutional neural network.As a clinical diagnostic tool, hyperspectral imaging, with neighbourhood extraction 3-dimensional convolutional neural network, has yielded remarkable results for the classification of wounded and normal tissues. Skin color does not play any role in the success of the proposed method. Since only the reflectance values of the spectral signatures are different for various skin colors. For different ethnic groups, The spectral signatures of wounded tissue and the spectral signatures of normal tissue show similar spectral characteristics among themselves.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1分钟前
庾稀发布了新的文献求助10
1分钟前
黄花菜完成签到 ,获得积分10
1分钟前
fev123完成签到,获得积分10
1分钟前
JAJ完成签到 ,获得积分10
4分钟前
清秀的怀蕊完成签到 ,获得积分10
4分钟前
OCDer发布了新的文献求助500
5分钟前
今后应助科研通管家采纳,获得10
6分钟前
寻找土豆的灯完成签到 ,获得积分10
6分钟前
英姑应助科研通管家采纳,获得10
8分钟前
Larock完成签到 ,获得积分10
8分钟前
欣喜雪晴完成签到 ,获得积分10
10分钟前
席康完成签到 ,获得积分10
11分钟前
nianshu完成签到 ,获得积分10
12分钟前
Spring完成签到,获得积分10
16分钟前
传奇3应助guan采纳,获得10
16分钟前
17分钟前
缪静柏发布了新的文献求助10
17分钟前
幽默含莲完成签到,获得积分10
17分钟前
爆米花应助科研通管家采纳,获得10
18分钟前
LQY发布了新的文献求助20
18分钟前
LQY完成签到,获得积分10
18分钟前
19分钟前
guan发布了新的文献求助10
19分钟前
zao完成签到 ,获得积分10
21分钟前
fengfenghao完成签到 ,获得积分10
22分钟前
小辣椒完成签到 ,获得积分10
22分钟前
内向的白玉完成签到 ,获得积分10
22分钟前
肆肆完成签到,获得积分10
23分钟前
moren完成签到 ,获得积分10
23分钟前
斯文败类应助科研通管家采纳,获得10
24分钟前
pinghu完成签到,获得积分10
24分钟前
mengliu完成签到,获得积分10
27分钟前
gk123kk完成签到,获得积分10
27分钟前
29分钟前
py999发布了新的文献求助10
29分钟前
gszy1975完成签到,获得积分10
30分钟前
科研通AI2S应助ektyz采纳,获得10
31分钟前
坚强的广山完成签到,获得积分0
32分钟前
褚明雪完成签到 ,获得积分10
32分钟前
高分求助中
Un calendrier babylonien des travaux, des signes et des mois: Séries iqqur îpuš 1036
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2545703
求助须知:如何正确求助?哪些是违规求助? 2175659
关于积分的说明 5600211
捐赠科研通 1896371
什么是DOI,文献DOI怎么找? 946248
版权声明 565379
科研通“疑难数据库(出版商)”最低求助积分说明 503557