Delimitation of Benign and Malignant Masses in Breast Ultrasound by Clustering of Intuitionistic Fuzzy Superpixels Using DBSCAN Algorithm

Dante Mújica-Vargas; Antonio Luna-Álvarez; Alberto Rosales-Silva; Andrea Palacios-Cervantes

doi:10.1007/978-3-031-07750-0_32

Delimitation of Benign and Malignant Masses in Breast Ultrasound by Clustering of Intuitionistic Fuzzy Superpixels Using DBSCAN Algorithm

Dante Mújica-Vargas, Antonio Luna-Álvarez, Alberto Rosales-Silva, Andrea Palacios-Cervantes

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Zacatenco

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

In this study, we propose a scheme to delimit benign and malignant masses in breast ultrasound images. It consists of two stages: superpixels extraction by an Intuitionistic Fuzzy algorithm, which considers the local information of the image to develop a local segmentation; and clustering the superpixels by means of DBSCAN algorithm. The proposal does not require preprocessing of noise reduction inherent to this type of medical images or enhancement of features. The effectiveness of our proposal is verified by quantitative and qualitative results.

Idioma original	Inglés
Título de la publicación alojada	Pattern Recognition - 14th Mexican Conference, MCPR 2022, Proceedings
Editores	Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz-Sánchez, Juan Humberto Sossa-Azuela, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	348-359
Número de páginas	12
ISBN (versión impresa)	9783031077494
DOI	https://doi.org/10.1007/978-3-031-07750-0_32
Estado	Publicada - 2022
Evento	14th Mexican Conference on Pattern Recognition, MCPR 2022 - Ciudad Juárez, México Duración: 22 jun. 2022 → 25 jun. 2022

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	13264 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	14th Mexican Conference on Pattern Recognition, MCPR 2022
País/Territorio	México
Ciudad	Ciudad Juárez
Período	22/06/22 → 25/06/22

Acceder al documento

10.1007/978-3-031-07750-0_32

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Mújica-Vargas, D., Luna-Álvarez, A., Rosales-Silva, A., & Palacios-Cervantes, A. (2022). Delimitation of Benign and Malignant Masses in Breast Ultrasound by Clustering of Intuitionistic Fuzzy Superpixels Using DBSCAN Algorithm. En O. O. Vergara-Villegas, V. G. Cruz-Sánchez, J. H. Sossa-Azuela, J. A. Carrasco-Ochoa, J. F. Martínez-Trinidad, & J. A. Olvera-López (Eds.), Pattern Recognition - 14th Mexican Conference, MCPR 2022, Proceedings (pp. 348-359). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13264 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-07750-0_32

Mújica-Vargas, Dante ; Luna-Álvarez, Antonio ; Rosales-Silva, Alberto et al. / Delimitation of Benign and Malignant Masses in Breast Ultrasound by Clustering of Intuitionistic Fuzzy Superpixels Using DBSCAN Algorithm. Pattern Recognition - 14th Mexican Conference, MCPR 2022, Proceedings. editor / Osslan Osiris Vergara-Villegas ; Vianey Guadalupe Cruz-Sánchez ; Juan Humberto Sossa-Azuela ; Jesús Ariel Carrasco-Ochoa ; José Francisco Martínez-Trinidad ; José Arturo Olvera-López. Springer Science and Business Media Deutschland GmbH, 2022. pp. 348-359 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this study, we propose a scheme to delimit benign and malignant masses in breast ultrasound images. It consists of two stages: superpixels extraction by an Intuitionistic Fuzzy algorithm, which considers the local information of the image to develop a local segmentation; and clustering the superpixels by means of DBSCAN algorithm. The proposal does not require preprocessing of noise reduction inherent to this type of medical images or enhancement of features. The effectiveness of our proposal is verified by quantitative and qualitative results.",

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Mújica-Vargas, D, Luna-Álvarez, A, Rosales-Silva, A & Palacios-Cervantes, A 2022, Delimitation of Benign and Malignant Masses in Breast Ultrasound by Clustering of Intuitionistic Fuzzy Superpixels Using DBSCAN Algorithm. En OO Vergara-Villegas, VG Cruz-Sánchez, JH Sossa-Azuela, JA Carrasco-Ochoa, JF Martínez-Trinidad & JA Olvera-López (eds.), Pattern Recognition - 14th Mexican Conference, MCPR 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13264 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 348-359, 14th Mexican Conference on Pattern Recognition, MCPR 2022, Ciudad Juárez, México, 22/06/22. https://doi.org/10.1007/978-3-031-07750-0_32

Delimitation of Benign and Malignant Masses in Breast Ultrasound by Clustering of Intuitionistic Fuzzy Superpixels Using DBSCAN Algorithm. / Mújica-Vargas, Dante; Luna-Álvarez, Antonio; Rosales-Silva, Alberto et al.
Pattern Recognition - 14th Mexican Conference, MCPR 2022, Proceedings. ed. / Osslan Osiris Vergara-Villegas; Vianey Guadalupe Cruz-Sánchez; Juan Humberto Sossa-Azuela; Jesús Ariel Carrasco-Ochoa; José Francisco Martínez-Trinidad; José Arturo Olvera-López. Springer Science and Business Media Deutschland GmbH, 2022. p. 348-359 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13264 LNCS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Palacios-Cervantes, Andrea

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AB - In this study, we propose a scheme to delimit benign and malignant masses in breast ultrasound images. It consists of two stages: superpixels extraction by an Intuitionistic Fuzzy algorithm, which considers the local information of the image to develop a local segmentation; and clustering the superpixels by means of DBSCAN algorithm. The proposal does not require preprocessing of noise reduction inherent to this type of medical images or enhancement of features. The effectiveness of our proposal is verified by quantitative and qualitative results.

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Mújica-Vargas D, Luna-Álvarez A, Rosales-Silva A, Palacios-Cervantes A. Delimitation of Benign and Malignant Masses in Breast Ultrasound by Clustering of Intuitionistic Fuzzy Superpixels Using DBSCAN Algorithm. En Vergara-Villegas OO, Cruz-Sánchez VG, Sossa-Azuela JH, Carrasco-Ochoa JA, Martínez-Trinidad JF, Olvera-López JA, editores, Pattern Recognition - 14th Mexican Conference, MCPR 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 348-359. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-07750-0_32