The presence of malignant cells in the female breast causes breast cancer, a disease that has recently spread around the globe, not just in Mexico but also in other parts of the world. We present an automatic Breast cancer classification approach in which a Raman signal is classified as coming from a biopsy of healthy tissue (class 1) or a biopsy of sick tissue (class 2); to do so, we created patterns using Raman spectra, accurately quantifying each Raman peak to supply naturally reduced data to a classifier; we used the Adaptative Neuro-Fuzzy Inference System (ANFIS) classifier. This equips professionals with critical clinical tools for the rapid and accurate automatic detection of breast cancer. Our approach, we believe, might be utilised to treat a variety of tumours, including lung, prostate, and stomach cancers.
Author (s) Details
Francisco Javier Luna Rosas
TecNM/Instituto Tecnológico de Aguascalientes, Departamento de Sistemas y Computación, Av. A. López Mateos 1801 Ote. Fracc. Bona Gens, Aguascalientes, Aguascalientes, C.P. 20256, México.
Julio Cesar Martínez Romo
TecNM/Instituto Tecnológico de Aguascalientes, Departamento de Sistemas y Computación, Av. A. López Mateos 1801 Ote. Fracc. Bona Gens, Aguascalientes, Aguascalientes, C.P. 20256, México.
Marco Antonio Hernández Vargas
TecNM/Instituto Tecnológico de Aguascalientes, Departamento de Sistemas y Computación, Av. A. López Mateos 1801 Ote. Fracc. Bona Gens, Aguascalientes, Aguascalientes, C.P. 20256, México.
Claudio Frausto Reyes
Centro de Investigaciones en óptica, Unidad Aguascalientes, Prol. Constitución 607, Fracc. Reserva Loma Bonita. Aguascalientes, Aguascalientes, Código Postal 20200, México.
View Book :- https://stm.bookpi.org/HMMS-V6/article/view/2105
No comments:
Post a Comment