High-Level Intuitive Features (HLIFs) for Intuitive Skin Lesion Description-Reference-Cited by-同舟云学术

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High-Level Intuitive Features (HLIFs) for Intuitive Skin Lesion Description

Published:2015-03 Issue:3 Volume:62 Page:820-831
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Amelard Robert,Glaister Jeffrey,Wong Alexander,Clausi David A.

Funder

Agfa Healthcare Inc.

Ontario Ministry of Economic Development and Innovation

Ontario Centres of Excellence

Natural Sciences and Engineering Research Council of Canada

Canada Research Chairs

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/7042848/06937161.pdf?arnumber=6937161

Cited by 76 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. Automated Machine Learning (AutoML) for the Diagnosis of Melanoma Skin Lesions From Consumer-Grade Camera Photos;Cureus;2024-08-23

2. Computer-Aided Classification of Melanoma: A Comprehensive Survey;Archives of Computational Methods in Engineering;2024-06-06

3. A deep learning-based illumination transform for devignetting photographs of dermatological lesions;Image and Vision Computing;2024-02

4. Melanoma identification and classification model based on fine-tuned convolutional neural network;DIGITAL HEALTH;2024-01

5. Skin Cancer Diagnosis and Detection Using Deep Learning;2023 International Conference on Electrical Engineering and Advanced Technology (ICEEAT);2023-11-05

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