Eudoxia L. S. Moura
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Eudoxia L. S. Moura has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Aura Conci
Universidade Federal Fluminense
4 shared publications - Flavia Cristine Hofstetter Pastura
Instituto Nacional de Tecnologia (INT)
1 shared publication - Flavio Luiz Seixas
Universidade Federal Fluminense
1 shared publication Flávia C. H. Pastura
Industrial Design Division of National Institute of Technology
1 shared publication- Gleidson M. Costa
Federal University of Maranhao
1 shared publication Natascha Scagliusi
Industrial Design Division of National Institute of Technology
1 shared publication
Latest Publications
- 17 November 2025
- Published by Springer Nature
- p. 172-189
Presenting a Dataset for 3D Breast Surface Representation Using Thermography
- 17 November 2025
- Published by Springer Nature
- p. 172-189
Presenting a Dataset for 3D Breast Surface Representation Using Thermography
- Open Access
- 3 June 2025
- Published by Sociedade Brasileira de Computação
- p. 64-69
Breast Symmetry Classification: A Proposal of Image Analysis Based Indices
The study aims to develop a method for evaluating breast symmetry using profile images. This shape-based analysis assesses differences between the two profiles with the help of simple indices, enabling an external symmetry evaluation independent of the image acquisition method. Initially, thermograms of 62 volunteers were analyzed, leading to the proposal of four asymmetry indices based on measurements of breast profile. Subsequently, images from 30 additional volunteers were examined to determine whether a multimodal pattern emerged across different imaging techniques, including infrared (IR) cameras, three-dimensional (3D) scan models, and photographic (RGB) cameras. To validate the method and assess the feasibility of applying the proposed indices to these imaging methods, the classified images (as symmetric or asymmetric) were evaluated by 28 specialists. The comparison between the proposed indices and expert assessments resulted in an accuracy rate of 60%.
- 3 June 2025
- Published by Sociedade Brasileira de Computação
- p. 64-69
Open AccessBreast Symmetry Classification: A Proposal of Image Analysis Based Indices
The study aims to develop a method for evaluating breast symmetry using profile images. This shape-based analysis assesses differences between the two profiles with the help of simple indices, enabling an external symmetry evaluation independent of the image acquisition method. Initially, thermograms of 62 volunteers were analyzed, leading to the proposal of four asymmetry indices based on measurements of breast profile. Subsequently, images from 30 additional volunteers were examined to determine whether a multimodal pattern emerged across different imaging techniques, including infrared (IR) cameras, three-dimensional (3D) scan models, and photographic (RGB) cameras. To validate the method and assess the feasibility of applying the proposed indices to these imaging methods, the classified images (as symmetric or asymmetric) were evaluated by 28 specialists. The comparison between the proposed indices and expert assessments resulted in an accuracy rate of 60%.
- 29 September 2023
- Published by Springer Nature
- p. 67-79
Could the Consideration of Symmetry be Statistically Significant for Breast Infrared Analysis?
- 29 September 2023
- Published by Springer Nature
- p. 67-79
Could the Consideration of Symmetry be Statistically Significant for Breast Infrared Analysis?
- 29 September 2023
- Published by Springer Nature
- p. 45-56
Modeling the 3D Breast Surface Using Thermography
- 29 September 2023
- Published by Springer Nature
- p. 45-56
Modeling the 3D Breast Surface Using Thermography