Automated brain tumor segmentation and classification for MRI analysis system
This paper proposed a new analysis technique of brain tumor segmentation and classification for Fluid Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Images (MRI). 25 FLAIR MRI images were collected from online database of Multimodal Brain Tumor Segmentation Challenge 2015 (BRaTS'15). ...
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| Main Authors: | , , , , , |
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| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2019-09-01.
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| Subjects: | |
| Online Access: | Get fulltext |
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| LEADER | 02440 am a22003493u 4500 | ||
|---|---|---|---|
| 001 | ijeecs19866_12899 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Mohd Saad, Norhashimah |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Faizal Yaakub, Muhamad |e author |
| 700 | 1 | 0 | |a Abdullah, Abdul Rahim |e author |
| 700 | 1 | 0 | |a Mohd Noor, Nor Shahirah |e author |
| 700 | 1 | 0 | |a Zainal, Nur Azmina |e author |
| 700 | 1 | 0 | |a Mohd Saad, Wira Hidayat |e author |
| 245 | 0 | 0 | |a Automated brain tumor segmentation and classification for MRI analysis system |
| 260 | |b Institute of Advanced Engineering and Science, |c 2019-09-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19866 | ||
| 520 | |a This paper proposed a new analysis technique of brain tumor segmentation and classification for Fluid Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Images (MRI). 25 FLAIR MRI images were collected from online database of Multimodal Brain Tumor Segmentation Challenge 2015 (BRaTS'15). The analysis comprised four stages which are preprocessing, segmentation, feature extraction and classification. Fuzzy C-Means (FCM) was proposed for brain tumor segmentation. Mean, median, mode, standard deviation, area and perimeter were calculated and utilized as the features to be fed into a rule-based classifier. The segmentation performances were assessed based on Jaccard, Dice, False Positive and False Negative Rates (FPR and FNR). The results indicate that FCM offered high similarity indices which were 0.74 and 0.83 for Jaccard and Dice indices, respectively. The technique can possibly provide high accuracy and has the potential to detect and classify brain tumor from FLAIR MRI database. | ||
| 540 | |a Copyright (c) 2019 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 690 | |a Tumor, MRI, Fuzzy C-Means, Segmentation, Classification | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 15, No 3: September 2019; 1337-1344 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v15.i3 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19866/12899 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19866/12899 |z Get fulltext |