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Brain Tumor Segmentation in Multimodal MRI Using U-Net Layered Structure

Computers, Materials & Continua 2023年第3期74卷 5267-5281页

作者： Muhammad Javaid Iqbal Muhammad Waseem Iqbal Muhammad Anwar Muhammad Murad Khan abd jabar nazimi Mohammad Nazir Ahmad Department of Information Technology The Superior UniversityLahorePakistan Department of Software Engineering The Superior UniversityLahorePakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahorePakistan Department of Computer Science Government College UniversityFaisalabadPakistan Deptment of Oral and Maxillofacial Surgery Faculty of DentistryUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia Institute of IR4.0 Universiti Kebangsaan MalaysiaBangiSelangorMalaysia

The brain tumour is the mass where some tissues become old or damaged,but they do not die or not leave their *** brain tumour masses occur due to malignant *** tissues must die so that new tissues are allowed to be born and take their *** segmentation is a complex and time-taking problem due to the tumour’s size,shape,and appearance *** finding such masses in the brain by analyzing Magnetic Resonance Images(MRI)is a crucial task for experts and *** could not work for large volume images simultaneously,and many errors occurred due to overwhelming image *** main objective of this research study is the segmentation of tumors in brain MRI images with the help of digital image processing and deep learning *** research study proposed an automatic model for tumor segmentation in MRI *** proposed model has a few significant steps,which first apply the pre-processing method for the whole dataset to convert Neuroimaging Informatics Technology Initiative(NIFTI)volumes into the 3D NumPy *** the second step,the proposed model adopts U-Net deep learning segmentation algorithm with an improved layered structure and sets the updated *** the third step,the proposed model uses state-of-the-art Medical Image Computing and Computer-Assisted Intervention(MICCAI)BRATS 2018 dataset withMRI modalities such as T1,T1Gd,T2,and Fluidattenuated inversion recovery(FLAIR).Tumour types in MRI images are classified according to the tumour *** of these masses carried by state-of-the-art approaches such that the first is enhancing tumour(label 4),edema(label 2),necrotic and non-enhancing tumour core(label 1),and the remaining region is label 0 such that edema(whole tumour),necrosis and *** proposed model is evaluated and gets the Dice Coefficient(DSC)value for High-grade glioma(HGG)volumes for their test set-a,test set-b,and test set-c 0.9795, 0.9855 and 0.9793, respectively.

关键词： Brain tumour segmentation magnetic resonance images modalities dice coefficient low-grade glioma U-Net

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Vascular lesions of the oral cavity in Malaysia

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中国口腔颌面外科杂志 2008年第B5期6卷 182-182页

作者： Roszalina Ramli Mohd nazimi abdul jabar Roslan abdul Rahman Department of Oral and Maxillofacial Surgery UniversitiKebangsaan Malaysia Medical Centre. Kuala Lumpur 56000Malaysia

Purpose: Glowacki and Mulliken (1982) described vascular lesions as hemangiomas and vascular malformations. Hemangiomas usually demonstrate endothelial hyperplasia and enlarge by cellular proliferation and usually appear in early infancy. They grow rapidly initially and then become stabilized. On the other hand, vascular malformations do not demonstrate cellular hyperplasia and they are always present at birth. They are collections of abnormal vessels with normal endothelium and mast cell count and they grow in proportion to body growth and never regress spontaneously. Methods:20 patients were seen at the Department of Oral and Maxillofacial Surgery, University Kebangsaan Malaysia Medical Centre between July 2001 to January 2008 with vascular lesions in the oral cavity. There were 15 males and 5 females giving male: female ratio of 3:1. The age range was between l month old to 69 years old (mean age of 20.7). In relation to racial distribution, there were l0 Malays, 5 Indians and 5 Chinese patients. The vascular lesions involved the upper and lower lips including the commisures, buccal mucosa and the cheek, tongue, the mandible and maxilla. 14 patients were diagnosed with hemangioma (two cases of intraosseous hemangioma); 5 with vascular malformations [3 with venous malformations and 2 high flow arteriovenous malformations] and l patient with superficial angiomyxoma. 12 patients had treatment in the form of excision, serial excisions and embolization and excision; 4 patients did not have any active intervention as they were asymptomatic and 4 patients refused treatment. 2 patients presented with emergency condition i.e profused bleeding prior to diagnosis and they were both diagnosed with intmosseous hemangioma. Results:To date,

关键词：口腔脉管畸形治疗方法临床分析

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