A Web-based Hybrid System for Skin Lesion Classification-Reference-Cited by-同舟云学术

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A Web-based Hybrid System for Skin Lesion Classification

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)
language:
Short-container-title:

Author:

Li Xinyi¹,Pi Zhiqiang²,Zhong Yitao³

Affiliation:

1. Australian National University Canberra,College of Arts and Social Sciences,Australia

2. University of California, San Diego,Jacobs School of Engineering,San Diego,The United States

3. Fordham University,Gabelli School of Business,New York,The United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9724981/9724718/09724998.pdf?arnumber=9724998

Reference20 articles.

1. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

2. Risk factors for skin cancers: a nested case–control study within the Nurses’ Health Study

3. Prevalence and associated factors of skin cancer in aged nursing home residents: A multicenter prevalence study;akdeniz;PLoS ONE,2019

4. Cutaneous melanoma;ribas;De Vita Hellman and Rosenberg's Cancer Principles and Practice of Oncology,2019

5. Ensemble of convolutional neural networks for dermoscopic images classification;majitner;CoRR,2018

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