Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets-Reference-Cited by-同舟云学术

Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets

Published:2022-09 Issue:9 Volume:26 Page:4679-4690
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Ozturk Saban¹^ORCID,Cukur Tolga²^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Amasya University, Amasya, Turkey

2. Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey

Funder

TUBA GEBIP 2015

BAGEP 2017

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9882959/09810181.pdf?arnumber=9810181

Reference67 articles.

1. Skin Lesion Synthesis with Generative Adversarial Networks

2. A GAN-based image synthesis method for skin lesion classification

3. Gabor wavelet-based deep learning for skin lesion classification

4. Robust Feature Spaces from Pre-Trained Deep Network Layers for Skin Lesion Classification

5. Pre-trained CNN based deep features with hand-crafted features and patient data for skin lesion classification;yildirim yayilgan;Lecture Notes Comput Sci,2020

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