Skin Cancer Image Classification Using Deep Neural Network Models

Author:

Upadhyay Mayank,Rawat Jyoti,Maji Srabanti

Publisher

Springer Nature Singapore

Reference18 articles.

1. Cancer. World Health Organization. https://www.who.int/health-topics/cancer#tab=tab_1. Accessed July 06, 2020

2. Tschandl, P., Rosendahl, C., Kittler, H.: Data descriptor: The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Sci. Data, vol. 5 (2018). https://doi.org/10.1038/sdata.2018.161

3. “Cancer Facts and Figures. American Cancer Society, 2021. https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/annual-cancer-facts-and-figures/2021/cancer-facts-and-figures-2021.pdf. Accessed Feb. 23, 2021

4. Titus, L.J., et al.: Recent skin self-examination and doctor visits in relation to melanoma risk and tumour depth. Br. J. Dermatol. 168(3), 571–576 (2013). https://doi.org/10.1111/bjd.12003

5. Bhattacharya, A., Young, A., Wong, A., Stalling, S., Wei, M., Hadley, D.: Precision Diagnosis of Melanoma And Other Skin Lesions From Digital Images.,” AMIA Jt. Summits Transl. Sci. proceedings. AMIA Jt. Summits Transl. Sci. vol. 2017, pp. 220–22 (2017). Accessed: Feb. 13, 2021. http://www.ncbi.nlm.nih.gov/pubmed/28815132.

Cited by 3 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. Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification;BMC Medical Imaging;2024-08-02

2. Ensemble of CNN and DenseNet121 Models for Pneumonia Prediction Using X-Ray Images;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

3. A Review on Preprocessing, Segmentation and Classification Techniques for Detection of Skin Cancer;2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON);2023-02-24

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