Enhanced Skin Cancer Detection and Classification using Convolutional Neural Networks
Author:
Affiliation:
1. Sagi Rama Krishnam Raju Engineering College,Department of ECE,Bhimavaram,India
2. Shri Vishnu Engineering College for Women,Department of ECE,Bhimavaram,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10606964/10606945/10607146.pdf?arnumber=10607146
Reference15 articles.
1. Skin Lesion Analyser: An Efficient Seven-Way Multi-class Skin Cancer Classification Using MobileNet
2. Learning Hand-Crafted Features for K-NN based Skin Disease Classification. In Proceedings of the InternationalCongress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Turkey;Kanca
3. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
4. An automated skin melanoma detection system with melanoma-index based on entropy features
5. Skin cancer detection: Applying a deep learning based model driven architecture in the cloud for classifying dermal cell images
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