Skin Lesion Classification Using Densely Connected Convolutional Network-Reference-Cited by-同舟云学术

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Skin Lesion Classification Using Densely Connected Convolutional Network

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Region 10 Symposium (TENSYMP)
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Author:

Rahat Hassan Syed,Hassan Syed Rahat,Afroge Shyla,Afroge Shyla,Binte Mizan Mehera,Binte Mizan Mehera

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9230456/9230461/09231041.pdf?arnumber=9231041

Cited by 14 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. Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm;Visual Computing for Industry, Biomedicine, and Art;2024-06-17

2. Skin Disease Detection;International Journal of Advanced Research in Science, Communication and Technology;2024-05-24

3. A Comprehensive Literature Review of Skin Lesions Classification Techniques;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

4. Advanced Skin Cancer Classification Using Yet Another Hill Climbing;2023-08-03

5. A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision;Advanced Engineering Informatics;2023-08

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