Diagnóstico do câncer de mama com auxílio da inteligência artificial

• Autor(a) principal: Donato, Ana Laura Moraes de
• Data de Publicação: 2023
• Outros Autores: Miguel, João Eraldo da Silveira, Mansano, Matheus do Amaral Genta
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_SP
• Texto Completo: https://repositorio.pucsp.br/jspui/handle/handle/42583
• topic: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO; Deep Learning; Machine Learning; Câncer; Tumor; Mamografia; Deep Learning; Machine Learning; Câncer tumor

The objective of this undergraduate thesis was to develop and evaluate an Artificial Intelligence-based system to assist in the early and accurate diagnosis of breast cancer. Artificial intelligence has been employed in various fields of knowledge, including healthcare, mainly for disease diagnosis that may lead to fatality. Its application in the medical field aids in the early diagnosis of breast cancer using Machine Learning and Deep Learning, capable of identifying patterns in extensive datasets and enhancing the analysis of medical images. Breast cancer is a disease that affects thousands of people worldwide. According to the National Cancer Institute (INCA), breast cancer ranks first in cancer mortality among individuals of the female biological sex. Additionally, according to the International Agency for Research on Cancer (IARC), breast cancer is one of the three most incident types and the most common in individuals of the female biological sex in 154 out of 185 analyzed countries. Early diagnosis improves the chances of cure and treatment for the disease. This is a case study involving a detailed analysis of the proposed system's performance, taking into account the characteristics and specific challenges of the context in which it will be applied. The obtained results showed that Artificial Intelligence has good accuracy in identifying changes in mammograms, capable of detecting potential tumors. Our AI proved to be very useful in assisting healthcare professionals for a faster and more accurate diagnosis, essential to increase the chances of patient survival