Classification of Melanoma Skin Cancer Using Inception-ResNet
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5191-6_6
Reference16 articles.
1. Haenssle HA, Fink C, Schneiderbauer R, Toberer F, Buhl T, Blum A, Kalloo A et al. (2018) Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. Annals of Oncology 29(8):1836–1842
2. Rathee G, Sharma A, Saini H, Kumar R, Iqbal R (2020) A hybrid framework for multimedia data processing in IoT-healthcare using blockchain technology. Multimedia Tools and Appl 79(15):9711–9733
3. Ashim LK, Suresh N, Prasannakumar CV (2021) A comparative analysis of various transfer learning approaches skin cancer detection. In: 2021 5th International conference on trends in electronics and informatics (ICOEI), IEEE, pp 1379–1385
4. Banerjee S, Singh SK, Chakraborty A, Das A, Bag R (2020) Melanoma diagnosis using deep learning and fuzzy logic. Diagnostics 10(8):577
5. Banerjee S, Singh SK, Chakraborty A, Basu S, Das A, Bag R (2021) Diagnosis of Melanoma lesion using neutrosophic and deep learning. Traitement du Signal 38(5)
Cited by 6 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. Skin cancer identification utilizing deep learning: A survey;IET Image Processing;2024-09-02
2. Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making;Scientific Reports;2024-07-27
3. Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making;2024-03-14
4. Skin cancer diagnosis: Leveraging deep hidden features and ensemble classifiers for early detection and classification;Biomedical Signal Processing and Control;2024-02
5. DDCNN-F: double decker convolutional neural network 'F' feature fusion as a medical image classification framework;Scientific Reports;2024-01-05
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