Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network-Reference-Cited by-同舟云学术

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Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network

Published:2023-11-28 Issue: Volume: Page:245-250
ISSN:
Container-title:2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
language:
Short-container-title:

Author:

Zegair Fatima Al¹,Rutjes Chantal²,Betz-Stablein Brigid²,Ge Zongyuan³,Soyer H. Peter²,Chandra Shekhar S.¹

Affiliation:

1. University of Queensland,School of Electrical Engineering and Computer Science,Brisbane,QLD,Australia

2. Frazer Institute, The University of Queensland,Dermatology Research Centre,Brisbane,QLD,Australia

3. Monash University eResearch Centre, Monash University,ECSE, Faculty of Engineering,Melbourne,VIC,Australia

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10410651/10410903/10410986.pdf?arnumber=10410986

Reference33 articles.

1. Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults

2. Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network

3. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks

4. Computer-aided diagnosis in medical imaging: Historical review, current status and future potential

5. Human–computer collaboration for skin cancer recognition

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