A Convolutional Neural Network-Based Web Prototype to Support Melanoma Skin Cancer Detection
Author:
Affiliation:
1. Universidad Central del Ecuador,Facultad de Ingenieria y Ciencias Aplicadas,Quito,Ecuador
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10063747/10063748/10063762.pdf?arnumber=10063762
Reference14 articles.
1. Melanoma detection by analysis of clinical images using convolutional neural network
2. Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets
3. Skin Lesion Classification from Dermoscopic Images Using Deep Learning Techniques
4. Classification of Melanoma and Nevus in Digital Images for Diagnosis of Skin Cancer
5. Convolutional Neural Network with Extraction of Multi-Column Features for Image Classification;lópez-saca;Res Comput Sci,2019
Cited by 2 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. Melanoma Skin Cancer Identification Using Machine Learning Technique;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
2. A Logical Design of Robust Methodology to Detect and Classify Melanoma Disease using Hybrid Deep Learning Principles;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14
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