TY  - JOUR
T1  - Using Convolutional Neural Networks for segmentation of brain tumors
A1  - de Lima, Kauã Gabriel Silva
A1  - Silva, Vagner Alves Ferreira da
A1  - Silva, João Victor Oliveira da
A1  - Oliveira, Lucas Patrick Ramos de
A1  - Silva, Diogo Lopes da
Y1  - 2024///
KW  - Machine Learning
KW  - Neural Networks
KW  - healthcare
KW  - tumors
JF  - Socioeconomic Analytics
VL  - 2
IS  - 1
SP  - 114
EP  - 120
DO  - https://doi.org/10.51359/2965-4661.2024.265072
UR  - https://doi.org/10.51359/2965-4661.2024.265072
N2  - This paper presents a brain tumor segmentation system for MRI images using Convolutional Neural Networks (CNNs). The goal is to assist in automated medical analysis by providing accurate segmentations of tumor areas to support diagnosis and treatment planning. The CNN model was trained on MRI images and accurately detected tumor boundaries. The proposed approach utilizes transfer learning to optimize the model’s performance on high-resolution images, reducing processing time. The system stands out for its efficiency in segmenting tumors of various sizes and shapes, offering a promising tool for clinical neuroscience.
ER  -