MelaNet: an effective deep learning framework for melanoma detection using dermoscopic images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12521-y.pdf
Reference56 articles.
1. ADDI-Project (2003) PH2 database. http://www.fc.up.pt/addi/
2. Albahar MA (2019) Skin lesion classification using convolutional neural network with novel regularizer. IEEE Access 7:38306–38313
3. Arasi MA, El-Horbaty ESM, Salem AM, El-Dahshan ESA (2017) Computational intelligence approaches for malignant melanoma detection and diagnosis. In: 2017 8th International conference on information technology (ICIT). IEEE, pp 55–61
4. Argenziano G, Soyer HP, Chimenti S, Talamini R, Corona R, Sera F, Binder M, Cerroni L, De Rosa G, Ferrara G et al (2003) Dermoscopy of pigmented skin lesions: results of a consensus meeting via the internet. J Am Acad Dermatol 48(5):679–693
5. Arvis V, Debain C, Berducat M, Benassi A (2004) Generalization of the cooccurrence matrix for colour images: application to colour texture classification. Image Anal Stereol 23(1):63–72
Cited by 26 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. A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques;Computers in Biology and Medicine;2024-09
2. SEDARU-net: a squeeze-excitation dilated based residual U-Net with attention mechanism for automatic melanoma lesion segmentation;Multimedia Tools and Applications;2024-08-19
3. VGG16U-Net with Attention Based Semantic Segmentation of Gastrointestinal Abnormalities;2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM);2024-07-23
4. AttDenseUnet : Segmentation of Polyps from Colonoscopic Images Based on Attention-DenseNet-Unet Architecture;2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM);2024-07-23
5. Deep Learning and Crow Search to Detect Skin Cancer in Dermoscopic Images;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15
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