Academic Journal
Two-step verification of brain tumor segmentation using watershed-matching algorithm
| العنوان: | Two-step verification of brain tumor segmentation using watershed-matching algorithm |
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| المؤلفون: | S. M. Kamrul Hasan, Mohiudding Ahmad |
| المصدر: | Brain Informatics, Vol 5, Iss 2, Pp 1-11 (2018) |
| بيانات النشر: | SpringerOpen, 2018. |
| سنة النشر: | 2018 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Computer software |
| مصطلحات موضوعية: | Brain tumor segmentation, Median filter, Magnetic resonance imaging, SIFT algorithm, Status checking, Topology, Computer applications to medicine. Medical informatics, R858-859.7, Computer software, QA76.75-76.765 |
| الوصف: | Abstract Though the modern medical imaging research is advancing at a booming rate, it is still a very challenging task to detect brain tumor perfectly. Medical imaging unlike other imaging system has highest penalty for a minimal error. So, the detection of tumor should be accurate to minimize the error. Past researchers used biopsy to detect the tumor tissue from the other soft tissues in the brain which is time-consuming and may have errors. We outlined a two-stage verification-based tumor segmentation that makes the detection more accurate. We segmented the tumor area from the MR image and then used another algorithm to match the segmented portion with the ground truth image. We named this new algorithm as watershed-matching algorithm. The most promising part of our model is the status checking of the tumor by finding the area of the tumor. Our proposed model works better than other state-of-the art works on BRATS 2017 dataset. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2198-4018 2198-4026 |
| Relation: | http://link.springer.com/article/10.1186/s40708-018-0086-x; https://doaj.org/toc/2198-4018; https://doaj.org/toc/2198-4026 |
| DOI: | 10.1186/s40708-018-0086-x |
| URL الوصول: | https://doaj.org/article/132cc7d2983049ec869a1b04fb8dd425 |
| رقم الانضمام: | edsdoj.132cc7d2983049ec869a1b04fb8dd425 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 21984018 21984026 |
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| DOI: | 10.1186/s40708-018-0086-x |