Early detection of melanoma images using gray level co‐occurrence matrix features and machine learning techniques for effective clinical diagnosis

Author:

Thiyaneswaran B.1ORCID,Anguraj K.1,Kumarganesh S.2ORCID,Thangaraj K.3

Affiliation:

1. Department of ECE Sona College of Technology Salem Tamil Nadu India

2. Department of ECE Jayalakshmi Institute of Technology Dharmapuri Tamil Nadu India

3. Department of IT Sona College of Technology Salem Tamil Nadu India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference28 articles.

1. ThiyaneswaranB SaravanakumarA KandibanR:Extraction of mole from eye sclera using object area detection algorithm. Paper presented at: IEEE International Conference on Wireless Communication Signal Processing and Networking (WiSPNET'2016); 2016:1413‐1417.

2. Classification of demoscopic skin cancer images using color and hybrid texture features;Ebithal A;Int J Comput Sci Netw Sec,2016

3. HaiderS ChoD AmelardR WongA ClausiDA.Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs. Paper presented at: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); Chicago IL USA; 2017:6455‐6458.

4. Instructional scaffolding for ASIP design education with System Verilog assertion considering situated nature of learning;Ryuichi T;Int J Comput Sci Network Sec,2016

5. A novel approach to segment skin lesion in dermoscopic images based on deformable model;Zhen M;IEEE J Biomed Health Inform,2016

Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Melanoma Detection using Discrete Cosine Transform Features and Metadata on Dermoscopic Images;Journal of King Saud University - Computer and Information Sciences;2024-02

2. Melanoma skin cancer detection using mask-RCNN with modified GRU model;Frontiers in Physiology;2024-01-16

3. An efficient fruit quality monitoring and classification using convolutional neural network and fuzzy system;International Journal of Engineering Systems Modelling and Simulation;2024

4. Image Analysis of MRI-based Brain Tumor Classification and Segmentation using BSA and RELM Networks;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

5. Melanoma Classification Through Deep Learning Using Dermoscopic Images;2023 International Conference on IT and Industrial Technologies (ICIT);2023-10-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3