Using Convolutional Neural Networks for segmentation of brain tumors
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 image...
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Format: | Article |
Language: | English |
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Universidade Federal de Pernambuco (UFPE)
2024-12-01
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Series: | Socioeconomic Analytics |
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Online Access: | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265072 |
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author | Kauã Gabriel Silva de Lima Vagner Alves Ferreira da Silva João Victor Oliveira da Silva Lucas Patrick Ramos de Oliveira Diogo Lopes da Silva |
author_facet | Kauã Gabriel Silva de Lima Vagner Alves Ferreira da Silva João Victor Oliveira da Silva Lucas Patrick Ramos de Oliveira Diogo Lopes da Silva |
author_sort | Kauã Gabriel Silva de Lima |
collection | DOAJ |
description |
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 demonstrated high accuracy in detecting 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
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format | Article |
id | doaj-art-4a6f09b1dcc4422ab90d0544057b8883 |
institution | Kabale University |
issn | 2965-4661 |
language | English |
publishDate | 2024-12-01 |
publisher | Universidade Federal de Pernambuco (UFPE) |
record_format | Article |
series | Socioeconomic Analytics |
spelling | doaj-art-4a6f09b1dcc4422ab90d0544057b88832025-02-07T17:46:04ZengUniversidade Federal de Pernambuco (UFPE)Socioeconomic Analytics2965-46612024-12-012110.51359/2965-4661.2024.265072Using Convolutional Neural Networks for segmentation of brain tumorsKauã Gabriel Silva de Lima0https://orcid.org/0009-0002-5458-792XVagner Alves Ferreira da Silva1https://orcid.org/0009-0000-0915-547XJoão Victor Oliveira da Silva2https://orcid.org/0009-0000-0696-0561Lucas Patrick Ramos de Oliveira3https://orcid.org/0009-0001-9931-9008Diogo Lopes da Silva4https://orcid.org/0009-0004-7649-1448Pernambuco Federal Institute of EducationPernambuco Federal Institute of EducationPernambuco Federal Institute of EducationPernambuco Federal Institute of EducationPernambuco Federal Institute of Education 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 demonstrated high accuracy in detecting 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 https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265072Machine LearningNeural Networkshealthcaretumors |
spellingShingle | Kauã Gabriel Silva de Lima Vagner Alves Ferreira da Silva João Victor Oliveira da Silva Lucas Patrick Ramos de Oliveira Diogo Lopes da Silva Using Convolutional Neural Networks for segmentation of brain tumors Socioeconomic Analytics Machine Learning Neural Networks healthcare tumors |
title | Using Convolutional Neural Networks for segmentation of brain tumors |
title_full | Using Convolutional Neural Networks for segmentation of brain tumors |
title_fullStr | Using Convolutional Neural Networks for segmentation of brain tumors |
title_full_unstemmed | Using Convolutional Neural Networks for segmentation of brain tumors |
title_short | Using Convolutional Neural Networks for segmentation of brain tumors |
title_sort | using convolutional neural networks for segmentation of brain tumors |
topic | Machine Learning Neural Networks healthcare tumors |
url | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265072 |
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