Brain MRI Examination with Varied Modality Fusion and Chan-Vese Segmentation

Autor:	Venkatesan Rajinikanth, N. Shalini, Vaddi Seshagiri Rao, D. Abirami, Hong Lin
Rok vydání:	2020
Předmět:	Modalities Modality (human–computer interaction) Correctness business.industry Computer science Brain mri Pattern recognition Segmentation Artificial intelligence business
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9789811556784 FICTA (2)
Popis:	Newly, varied techniques are implemented to improve and mine the apprehensive segment from the brain MRI obtained with diverse modalities. This work executes an image-fusion practice to combine the MRIs of dissimilar modalities, to improve the correctness in the assessment task. A Principle-Component-Analysis (PCA) supported fusion is employed to enhance tumor of brain MRI. This work considers the 2D slices of BRATS-2015 image for the assessment. Later, the segmentation based on Chan-Vese is executed and its performance is evaluated against DRLS. A comparative investigation among tumor section and ground-truth (GT) is implemented and vital picture-likeliness constraints are computed. The result of this work is compared against DWT-PCA procedure accessible in literature, and the experimental results of this technique offered better results, which substantiate the superiority of PCA practice.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d8a573774c66f1712dea33e7f30908c9 https://doi.org/10.1007/978-981-15-5679-1_65 Zobrazit plný text záznamu