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A system for the detection of melanomas in dermoscopy images using shape and symmetry features

  • Published:2015-05-12 Issue:2 Volume:5 Page:127-137
  • ISSN:2168-1163
  • Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
  • language:en
  • Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Ruela Margarida,Barata Catarina,Marques Jorge S.,Rozeira Jorge

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Cited by 46 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. Computer-Aided Classification of Melanoma: A Comprehensive Survey;Archives of Computational Methods in Engineering;2024-06-06

2. Skin Cancer Image Segmentation Based on Midpoint Analysis Approach;Journal of Imaging Informatics in Medicine;2024-04-16

3. SAA: A novel skin lesion Shape Asymmetry Classification Analysis;EAI Endorsed Transactions on Pervasive Health and Technology;2024-03-28

4. Efficiency Analysis of Convolutional Neural Netwoks in Multiclass Recognition of Skin Lesions via Dermoscopy Images;2024 10th International Conference on Artificial Intelligence and Robotics (QICAR);2024-02-29

5. Gannet devil optimization-based deep learning for skin lesion segmentation and identification;Biomedical Signal Processing and Control;2024-02
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