Método de delimitação celular em imagens ER/PR de câncer de mama
Abstract
This paper describes a method to be used as an aid to pathologists in the early detection/diagnosis of breast cancer in immunohistochemical images. Besides, the treatment prognosis can make use of these results. A developed cell delimitation method uses an image processing techniques that will serve as a basis for the future development of a cell counting technique. The implemented method showed that the segmentation/delimitation stage is efficient for the progress of the work, with no quantitative results.References
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Mouelhi, A., Rmili, H., Ali, J. B., Sayadi, M., Doghri, R., and Mrad, K. (2018). Fast unsupervised nuclear segmentation and classication scheme for automatic allred cancer scoring in immunohistochemical breast tissue images. Computer methods and programs in biomedicine, 165:37–51.
Pereira, H. F. B. d. E. S. A., Viapiana, P. d. S., and Silva, K. L. T. (2019). Aspectos Clínicos e Patológicos do Câncer de Mama em Mulheres Jovens Atendidas na FCecon entre 2003 e 2013. Revista Brasileira de Cancerologia, 63(2):103–109.
da Silva, P. A. and Riul, S. d. S. (2011). [Breast cancer: risk factors and early detection]. Revista brasileira de enfermagem, 64(6):1016–1021.
Equipe SBP (2016). O papel do patologista na luta contra o câncer.
INCA (2021a). Causas e Prevenção: Estatísticas de câncer.
INCA (2021b). Tipos de câncer: Câncer de mama. Instituto Nacional de CÂncer (2019). Breast cancer in brazil: synthesis of information. https://www.inca.gov.br/sites/ufu.sti.inca.local/files/media/document//a_situacao_ca_mama_brasil_2019.pdf. Accessed: 2019-10-23.
Martin, V., Valera, A., De Joffrey, M., Ban, S., and Mazzucchelli, L. (2019). Implementation of the 2018 Human Epidermal growth factor Receptor 2 guideline by Ameri can Society of Clinical Oncology/College of American pathologists will reduce falsepositive tests. Archives of Pathology and Laboratory Medicine, 143(4):411–412.
Mouelhi, A., Rmili, H., Ali, J. B., Sayadi, M., Doghri, R., and Mrad, K. (2018). Fast unsupervised nuclear segmentation and classication scheme for automatic allred cancer scoring in immunohistochemical breast tissue images. Computer methods and programs in biomedicine, 165:37–51.
Pereira, H. F. B. d. E. S. A., Viapiana, P. d. S., and Silva, K. L. T. (2019). Aspectos Clínicos e Patológicos do Câncer de Mama em Mulheres Jovens Atendidas na FCecon entre 2003 e 2013. Revista Brasileira de Cancerologia, 63(2):103–109.
Published
2021-06-15
How to Cite
TAMAKI, João Victor Kenji; ROGALSKY, Johanna Elisabeth; IOSHII, Sergio Ossamu; OLIVEIRA, Lucas Ferrari de.
Método de delimitação celular em imagens ER/PR de câncer de mama. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 21. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 440-445.
ISSN 2763-8952.
DOI: https://doi.org/10.5753/sbcas.2021.16089.
