Skin Cancer Diagnosis based on Improved Multiattention Convolutional Neural Network-Reference-Cited by-同舟云学术

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Skin Cancer Diagnosis based on Improved Multiattention Convolutional Neural Network

Published:2021-03-12 Issue: Volume: Page:
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Container-title:2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
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Author:

Xu Huanqing,Jin Li,Shen Tongping,Huang Fangliang

Funder

Anhui University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9390588/9390589/09390972.pdf?arnumber=9390972

Cited by 5 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. Combining Deep Features with the Invariant Local Binary Pattern features for Skin Cancer Classification;2023 IEEE Pune Section International Conference (PuneCon);2023-12-14

2. A Convolutional Neural Network Based on Soft Attention Mechanism and Multi-Scale Fusion for Skin Cancer Classification;International Journal of Pattern Recognition and Artificial Intelligence;2023-11

3. Henry Gas Solubility Optimization Algorithm based Feature Extraction in Dermoscopic Images Analysis of Skin Cancer;Cancers;2023-04-04

4. Dense-par-AttNet: An Attention Based Deep Learning Model For Skin Lesion Classification By Transfer Learning Approach;2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET);2022-09-13

5. Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting;IEEE Access;2021

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